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Dissertations / Theses on the topic 'Canny's edge detection'
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Zhu, Yuan. "Extraction of Linear Features Based on Beamlet Transform." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301616331.
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Němec, Zbyšek. "Derichův detektor hran." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-235475.
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This thesis presents the Deriche edge detector as an interesting alternative to the commonly used edge detectors. The Deriche edge detector's design is presented to the reader as well as its strengths and weaknesses. Performance issues of the Deriche edge detector are described in comparison with the Canny edge detector together with recommendations for using the Deriche detector. Finally, edge detection quality of the Deriche edge detector is compared to the Canny edge detector using robust subjective evaluation method.
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Fendrich, Vítězslav. "Zařízení varovného systému pro udržení vozidla v jízdním pruhu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400535.
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This thesis adresses designing a device that detects lane departure of a vehicle via a video feed from a camera module. This device is intended to be attached onto the windshield of the vehicle. The initial part of the thesis will cover the current methods of lane departure detection through a video feed. In the following part the selection of suitable hardware, specifically the latest model of a Raspberry Pi, has been made. Afterwards a suitable container for the aforementioned hardware has been designed and created using a 3D printer. Subsequently an appropriate LDWS algorithm is chosen and designed. In the next part, the range and parameters of a testing database through which the proper functionality of the device will be tested on are chosen. The final part of the thesis contains evaluation of the success rate of detection via the acquired database.
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Shi, Changgui. "An implementation of the canny edge detector." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/834519.
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Labaj, Tomáš. "Detekce křivek v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236653.
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This thesis deals with curve detection in images. First, current methods used in this area of image processing are summarized and described. Main topic of this thesis is a comparison of methods of parametric curve detection, such as Hough transformation and RANSAC-based methods. These methods are compared according to several criteria which are the most important for precise edge detection.
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Zavistanavičiūtė, Rasa. "Object detection algorithms analysis and implementation for augmented reality system." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2012~D_20131105_093556-36296.
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Object detection is the initial step in any image analysis procedure and is essential for the performance of object recognition and augmented reality systems. Research concerning the detection of edges and blobs is particularly rich and many algorithms or methods have been proposed in the literature. This master‟s thesis presents 4 most common blob and edge detectors, proposes method for detected numbers separation and describes the experimental setup and results of object detection and detected numbers separation performance. Finally, we determine which detector demonstrates the best results for mobile augmented reality system.<br>Objektų aptikimas yra pagrindinis žingsnis vaizdų analizės procese ir yra pagrindinis veiksnys apibrėžiantis našumą objektų atpažinimo ir papildytosios realybės sistemose. Literatūroje gausu metodų ir algoritmų aprašančių sričių ir ribų aptikimą. Šiame magistro laipsnio darbe aprašomi 4 dažniausiai naudojami sričių ir ribų aptikimo algoritmai, pasiūlomas metodas aptiktų skaičių atskyrimo problemai išspręsti. Pateikiami atliktų eksperimentų rezultatai, palyginmas šių algoritmų našumas. Galiausiai yra nustatoma, kuris iš jų yra geriausias.
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Larsson, Mathias. "Machine vision for finding a joint to guide a welding robot." Thesis, University West, Department of Engineering Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-1783.
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<p>This report contains a description on how it is possible to guide a robot along an edge, by using a camera mounted on the robot. If stereo matching is used to calculate 3Dcoordinates of an object or an edge, it requires two images from different known positions and orientations to calculate where it is. In the image analysis in this project, the Canny edge filter has been used. The result from the filter is not useful directly, because it finds too many edges and it misses some pixels. The Canny edge result must be sorted and finally filled up before the final calculations can be started. This additional work with the image decreases unfortunately the accuracy in the calculations. The accuracy is estimated through comparison between measured coordinates of the edge using a coordinate measuring machine and the calculated coordinates. There is a deviation of up to three mm in the calculated edge. The camera calibration has been described in earlier thesis so it is not mentioned in this report, although it is a prerequisite of this project.</p>
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Homola, Antonín. "Detekce šířky papilární linie u otisku prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236952.
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This work outlines a method of detection of the papillary line width in fingerprints. This method is one of the possible methods of liveness detection. The first part of the work with deals defining of the fingerprint, attacks on today's systems and possibilities to improve security. The next section detection describes of the papillary line width. During the process of resolving, the first thing to do was to start operation of the scanning device and to read the database for tests and experiments. An independent application was created on this purpose. Further, there were projected methods for detection and measuring of the papillary line width. Use of the Canny edge detector with the Sobel operator and the Gaussian filter proved the best. Then, there is described implementation of individual methods. The next part of the work describes and assesses the results of the tests. The last chapter summarizes the work and proposes further possibilities of development.
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Beneš, Radek. "Využití metod zpracování signálů pro zvýšení bezpečnosti automobilové dopravy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218105.
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This diploma thesis deals with the issue of the recognition of road signs in the video sequence. Such systems increase the traffic safety and are implemented by major car factories in the manufactured cars (Opel, BMW). First, the motivation for the utilisation of these systems is presented, followed by the survey of the current state of the art methods. Finally, a specific road-sign detection method is chosen and described in detail. The method uses advanced techniques of signal processing. Segmentation method in color space is used for sign detection and subsequent classification is accomplished by linear classification with optional use of PCA method. In addition, the method contains the prediction of road sign positions based on Kalman filtering. Implemented system yields relatively accurate results and overall analysis and discussion is enclosed.
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Vannucci, Maria Chiara. "Algoritmi di segmentazione di immagini mediche." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/10878/.
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Nell'ambito dell'elaborazione delle immagini, si definisce segmentazione il processo atto a scomporre un'immagine nelle sue regioni costituenti o negli oggetti che la compongono. Ciò avviene sulla base di determinati criteri di appartenenza dei pixel ad una regione. Si tratta di uno degli obiettivi più difficili da perseguire, anche perché l'accuratezza del risultato dipende dal tipo di informazione che si vuole ricavare dall'immagine.
Questa tesi analizza, sperimenta e raffronta alcune tecniche di elaborazione e segmentazione applicate ad immagini digitali di tipo medico. In particolare l'obiettivo di questo studio è stato quello di proporre dei possibili miglioramenti alle tecniche di segmentazione comunemente utilizzate in questo ambito, all'interno di uno specifico set di immagini: tomografie assiali computerizzate (TAC) frontali e laterali aventi per soggetto ginocchia, con ivi impiantate protesi superiore e inferiore. L’analisi sperimentale ha portato allo sviluppo di due algoritmi in grado di estrarre correttamente i contorni delle sole protesi senza rilevare falsi punti di edge, chiudere eventuali gap, il tutto a un basso costo computazionale.
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Guler, Muhammet Ali. "Detection Of Earthquake Damaged Buildings From Post-event Photographs Using Perceptual Grouping." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12604982/index.pdf.
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Two approaches were developed for detecting earthquake damaged buildings from post-event aerial photographs using shadow analysis and perceptual grouping. In the first approach, it is assumed that the vector boundaries of the buildings are not known a priori. Therefore, only the post-event aerial photographs were used to detect the collapsed buildings. The approach relies on an idea that if a building is fully damaged then, it will not generate a closed contour. First, a median filter is applied to remove the noise. Then, the edge pixels are detected through a Canny edge detector and the line segments are extracted from the output edge image using a raster-to-vector conversion process. After that, the line segments are grouped together using a three-level hierarchical perceptual grouping procedure to form a closed contour. The principles used in perceptual grouping include the proximity, the collinearity, the continuity and the perpendicularity. In the second approach, it is assumed that the vector boundaries of the buildings are known a priori. Therefore, this information is used as additional data source to detect the collapsed buildings. First, the edges are detected from the image through a Canny edge detector. Second, the line segments are extracted using a raster-to-vector conversion process. Then, a two-level hierarchical perceptual grouping procedure is used to group these line segments. The boundaries of the buildings are available and stored in a GIS as vector polygons. Therefore, after applying the perceptual grouping procedure, the damage conditions of the buildings are assessed on a building-by-building basis by measuring the agreement between the detected line segments and the vector boundaries.
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Pšenák, Patrik. "Zpracování otisků prstu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-374739.
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My master's thesis deals with the different techniques used in fingerprints processing for identifying fingerprints. Using the software tool Visual C++ and functions of OpenCV library I programmed a separate application, that is able to select from a database of fingerprints the most consistent with a comparative fingerprint images, even when they are mutually shifted in the direction of axes X and Y. The next step in my program is to gather the edges of the fingerprint image. Those obtained using Canny edge detector. Furthermore, getting the contours of the image edges. To determine, whether the contours are the same, just compare some characteristic points of contours. Next I use a histogram function to determine the number of points for approximation of contours and evaluating compliance fingerprints. Since the processing of the input fingerprint image (or rather the approximation of the contour points) remains in the picture as black (background) and red (the approximation of the contour points), this means, that zero and the last element of the histogram represent the number of black and red points. Comparison is in percentage and is obtained by subtracting the approximated points of contours image from the original fingerprint image of approximated contour points of matched fingerprints. It determined, what percentage of red points have disappeared, so as to match two fingerprint images. If on the resulting figure is not left neither a red point, that corresponds to 100% of the fingerprints Compliance.
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Bilen, Burak. "Model Based Building Extraction From High Resolution Aerial Images." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12604984/index.pdf.
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A method for detecting the buildings from high resolution aerial images is proposed. The aim is to extract the buildings from high resolution aerial images using the Hough transform and the model based perceptual grouping techniques.The edges detected from the image are the basic structures used in the building detection procedure. The method proposed in this thesis makes use of the basic image processing techniques. Noise removal and image sharpening techniques are used to enhance the input image. Then, the edges are extracted from the image using the Canny edge detection algorithm. The edges obtained are composed of discrete points. These discrete points are vectorized in order to generate straight line segments. This is performed with the use of the Hough transform and the perceptual grouping techniques. The straight line segments become the basic structures of the buildings. Finally, the straight line segments are grouped based on predefined model(s) using the model based perceptual grouping technique. The groups of straight line segments are the candidates for 2D structures that may be the buildings, the shadows or other man-made objects. The proposed method was implemented with a program written in C programming language. The approach was applied to several study areas. The results achieved are encouraging. The number of the extracted buildings increase if the orientation of the buildings are nearly the same and the Canny edge detector detects most of the building edges.If the buildings have different orientations,some of the buildings may not be extracted with the proposed method. In addition to building orientation, the building size and the parameters used in the Hough transform and the perceptual grouping stages also affect the success of the proposed method.
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Guducu, Hasan Volkan. "Building Detection From Satellite Images Using Shadow And Color Information." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609920/index.pdf.
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A method for detecting buildings from satellite/aerial images is proposed in this study. The aim is to extract rectilinear buildings by using hypothesize first verify next manner. Hypothesis generation is accomplished by using edge detection and line generation stages. Hypothesis verification is carried out by using
information obtained both from the color segmentation of HSV representation of the image and the shadow detection stages&rsquo<br>output. Satellite/aerial image is firstly filtered to sharpen the edges. Then, edges are extracted using Canny edge detection
algorithm. These edges are the input for the Hough Transform stage which will produce line segments according to these extracted edges. Then, extracted line segments are used to generate building hypotheses. Verification of these hypotheses
makes use of the outputs of the HSV color segmentation and shadow detection stages. In this study, color segmentation is processed on the HSV representation of the satellite/aerial image which is less sensitive to illumination. In order to perform the shadow detection, the basic information which is shadow areas have higher value of saturation component and lower value of value component in HSV color space is used and according to this information a mask is applied to the HSV
representation of the image to produce shadow pixels.
The proposed method is implemented as software written in MATLAB programming software. The approach was tested in several different areas. The results are encouraging.
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Pluskal, Richard. "Dohledávání objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217202.
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The thesis deals with design of a program for entering various types of geometric objects in an image for the purpose of their further processing. The program should also contain algorithms to ease object entering (e.g. refining manually entered object position). In the first part there is a brief description of the computer vision and its basic methods used in the work as well as introduction of the OpenCV image processing library. The following part describes three types of geometric primitives that are implemented for now. Because the output of the program is in universal XML format, there is short chapter about the XML. After that, there are summarized some methods for searching of parametric description of geometric primitives in an image. The final chapter describes the proposed system and evaluates possibility and suitability of its usage for various types of images.
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Yusro, Muhammad. "Development of new algorithm for improving accuracy of pole detection to the supporting system of mobility aid for visually impaired person." Thesis, Université Clermont Auvergne (2017-2020), 2017. http://www.theses.fr/2017CLFAC107/document.
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Ces travaux de recherche visaient à développer un système d'aide à la mobilité pour les personnes ayant une déficience visuelle (VIP ‘Visually Impaired Person’) appelé ‘Smart Environment Explorer Stick (SEES)’. Le but particulier de cette recherche était de développer de nouveaux algorithmes pour améliorer la précision de la détection de la présence de poteaux de la canne SEE-stick en utilisant la méthode de calcul de distance et la recherche de paires de lignes verticales basées sur l'optimisation de la technique de détection de contour de Canny. Désormais, l'algorithme de détection des poteaux est appelé l’algorithme YuRHoS. Le SEES développé comme système de support d'aide à la mobilité VIP a été intégré avec succès à plusieurs dispositifs tels que le serveur distant dénommé iSEE, le serveur local embarqué dénommé SEE-phone et la canne intelligente dénommée SEE-stick. Les performances de SEE-stick ont été améliorées grâce à l'algorithme YuRHoS qui permet de discriminer avec précision les objets (obstacles) en forme de poteau parmi les objets détectés. La comparaison des résultats de détection des poteaux avec ceux des autres algorithmes a conclu que l'algorithme YuRHoS était plus efficace et précis. Le lieu et la couleur des poteaux de test d’évaluation étaient deux des facteurs les plus importants qui influaient sur la capacité du SEE-stick à détecter leur présence. Le niveau de précision de SEE-stick est optimal lorsque le test d’évaluation est effectué à l'extérieur et que les poteaux sont de couleur argentée. Les statistiques montrent que la performance de l'algorithme YuRHoS à l'intérieur était 0,085 fois moins bonne qu'à l'extérieur. De plus, la détection de la présence de poteaux de couleur argentée est 11 fois meilleure que celle de poteaux de couleur noir<br>This research aimed to develop a technology system of mobility aid for Visually Impaired Person (VIP) called Smart Environment Explorer Stick (SEES).Particular purpose of this research was developing new algorithm in improving accuracy of SEE-stick for pole detection using distance calculation method and vertical line pair search based on Canny edge detection optimization and Hough transform. Henceforth, the pole detection algorithm was named as YuRHoS algorithm.The developed SEES as supporting system of VIP mobility aid had been successfully integrated several devices such as global remote server (iSEE), embedded local server (SEE-phone) and smart stick (SEE-stick). Performance of SEE-stick could be improved through YuRHoS algorithm, which was able to fix the accuracy of SEE-stick in detecting pole. Test comparison of pole detection results among others algorithm concluded that YuRHoS algorithm had better accuracy in pole detection.Two most significant factors affecting SEE-stick ability in detecting pole was test location and pole color. Level of accuracy of SEE-stick would be optimum once the test location was performed outdoor and pole color was silver. Statistics result shown that YuRHoS algorithm performance indoor was 0.085 times worse than outdoor. Meanwhile, silver-pole-color as object detection could increase YuRHoS algorithm performance as much as 11 times better compare to black-pole-color
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Vápeník, Radovan. "Automatická optická inspekce." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-217913.
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This work deals with the technical possibilities for automated optical inspection and the arrangements for monitoring the implementation of established elements. There are used methods of detection elements, including advanced algorithm processing. With the described methods was created program and each method was tested. The aim was on the clear description of the problem, the optimal design and processing program with objective results with the lowest number of false detection.
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Nalavolu, Praveen Reddy. "PERFORMANCE ANALYSIS OF SRCP IMAGE BASED SOUND SOURCE DETECTION ALGORITHMS." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/50.
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Steered Response Power based algorithms are widely used for finding sound source location using microphone array systems. SRCP-PHAT is one such algorithm that has a robust performance under noisy and reverberant conditions. The algorithm creates a likelihood function over the field of view. This thesis employs image processing methods on SRCP-PHAT images, to exploit the difference in power levels and pixel patterns to discriminate between sound source and background pixels. Hough Transform based ellipse detection is used to identify the sound source locations by finding the centers of elliptical edge pixel regions typical of source patterns. Monte Carlo simulations of an eight microphone perimeter array with single and multiple sound sources are used to simulate the test environment and area under receiver operating characteristic (ROCA) curve is used to analyze the algorithm performance. Performance was compared to a simpler algorithm involving Canny edge detection and image averaging and an algorithms based simply on the magnitude of local maxima in the SRCP image. Analysis shows that Canny edge detection based method performed better in the presence of coherent noise sources.
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Samini, Ali. "Large scale audience interaction with a Kinect sensor." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75520.
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We present investigation and designing of a system that interacts with big audience, sitting in a dimmed theater environment. The goal is to automatically detect audiences and some of their actions. Test results indicate that because of low light condition we can’t rely on RGB camera footage in a dimmed environment. We use Microsoft Kinect Sensor to collect data from environment. Kinect is designed to be used with Microsoft Xbox 360 for gaming purposes. It has both RGB and Infrared depth camera. Change in amount of visible light doesn’t affect data from depth camera. Kinect is not a strong camera so it has limitations that we should deal with. Viewing angles of both cameras and depth range of Infrared camera are limited. Viewing angles of depth camera are 43° vertical and 57° horizontal. Most accurate range of depth camera is 1 meter to 4 meters from camera. Non-infrared reflective surfaces cause gaps in depth data. We evaluate possibility of using Kinect camera in a large environment with big audience. “Dome 3D theater” in Norrkoping Visualization Center C, is selected as environment to investigate and test the system. We ran some tests to find the best place and best height for camera to have most coverage. Our system works with optimized image processing algorithms that use 3D depth data instead of regular RGB or Grayscale image. We use “libfreenect”, Open Kinect library to get Kinect sensor up and running. C++ and OpenGL are used as programing languages and graphics interface, respectively. Open GLUT (OpenGL Utility Toolkit) is used for system’s user interface. It was not possible to use Dome environment for every test during the programming period so we recorded some depth footage and used for later tests. While evaluating the possibility of using Kinect in Dome environment, we realized that implementing a voting system would make a good demonstration and test application. Our system counts votes after audiences raise their hands to vote for something.
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Beránek, Jan. "Verifikace rukopisu a podpisu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237258.
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This paper concerns methods of verification of person's signature and handwriting. Some of commonly used techniques are resumed and described with related literature being referred. Next aim of this work is design and implementation of a simple handwriting verification application. Application is based on edge detection and comparison of a set of structural and statistical features. As a support classification tool a SVM classifier of the LIBSVM software is employed. The Application is written in C language using OpenCV graphics library. Testing and training set was extracted from samples found in the IAM Handwriting Database. Application was created and tested in the Windows XP operating system.
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Gustafsson, Simon, and Andreas Persson. "Detecting small and fast objects using image processing techniques : A project study within sport analysis." Thesis, Jönköping University, JTH, Avdelningen för datateknik och informatik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54343.
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This study has put three different object detecting techniques to the test. The goal was to investigate small and fast-moving objects to see which technique’s performance is most suitable within the sports of Padel. The study aims to cover and explain different affecting conditions that could cause better but also worse performance for small and fast object detection. The three techniques use different approaches for detecting one or multiple objects and could be a guideline for future object detection development. The proposed techniques utilize background histogram calculation, HSV masking with edge detection and DNN frameworks together with the COCO dataset. The process is tested through outdoor video footage across all techniques to generate data, which indicates that Canny edge detection is a prominent suggestion for further research given its high detection rate. However, YOLO shows excellent potential for multiple object detection at a very high confidence grade, which provides reliable and accurate detection of a targeted object. This study’s conclusion is that depending on what the end purpose aims to achieve, Canny and YOLO have potential for future small and fast object detection.
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Torres, Guilherme Vaz. "Nova abordagem para o processamento e análise de imagens topográficas da córnea humana." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/59/59135/tde-03032008-090325/.
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O presente trabalho trata-se do desenvolvimento de um programa para de análise de imagens de topografia corneana de sistemas comerciais, para ser implementado no topógrafo corneano para Lâmpada de Fenda, em desenvolvimento no Laboratório de Instrumentação Oftálmica - EESC/USP e no Laboratório de Física Oftálmica - FMRP/USP. O programa foi desenvolvido em C++, utilizando a plataforma Windows, e fornece mapas axiais de topografia corneana. O programa foi testado em esferas de calibração e em olhos humanos, apresentando um fator de correlação de 0,9998 para as medidas em esferas e um erro inerente estimado em 3%. Os mapas de topografias axiais em olhos humanos foram comparados com os mapas gerados por sistemas comerciais e o padrão visual de forma e relevo estão em concordância.<br>This work is about a software for the analisys of corneal topography images provided by commercial available systems to be implemented in a corneal topographer for slit lamps under evelopment at Laboratório de Instrumentação Oftálmica . EESC/USP e no Laboratório de Física Oftálmica . FRMP/USP. The software was developed in Borland C++ Builder for Windows and provides the corneal topography axial maps. The software has been tested in calibration spheres and in human eyes, presenting a correlation factor of 0,9998 for the measurements performed in the spheres and an inherent error of 3%. The axial topographic maps form the exams performe in human eyes have been compared to the axial maps provided by the commercial available system and the visual pattern as well as the relief are in accordance.
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Janda, Miloš. "Detekce hran pomocí neuronové sítě." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237175.
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Aim of this thesis is description of neural network based edge detection methods that are substitute for classic methods of detection using edge operators. First chapters generally discussed the issues of image processing, edge detection and neural networks. The objective of the main part is to show process of generating synthetic images, extracting training datasets and discussing variants of suitable topologies of neural networks for purpose of edge detection. The last part of the thesis is dedicated to evaluating and measuring accuracy values of neural network.
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Medeiros, Márcio Borges. "Identificação de ninhos de cegonha em postes eléctricos." Master's thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/10233.
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Dissertação para obtenção do Grau de Mestre em
Engenharia Informática<br>Incidentes envolvendo cegonhas representam a segunda maior causa para interrupções no fornecimento energético. As cegonhas encontram nos postes eléctricos um bom habitat para a construção dos seus ninhos. No entanto existem locais onde a sua existência não é desejável, tornando-se necessário a realização de vistorias dedicadas e se necessário, acções que visam a realocação dos ninhos.
Nesta dissertação propõe-se a criação de uma ferramenta capaz de automaticamente
identificar ninhos de cegonha em postes eléctricos. Utilizando vídeos e/ou imagens capturadas para o efeito, são extraídas as arestas nas mesmas com recurso ao Canny edge detector e transformada de Hough. Verificandose a existência de um poste prossegue-se com a detecção dos ninhos de cegonha.
Para este efeito foi construído um classificador em cascata baseado em haar
features.
Nos testes efectuados foi possível identificar correctamente 91% dos postes
eléctricos, existindo uma taxa de falsos positivos de 5,2%. Procedendo-se ao
reconhecimento dos ninhos de cegonha, 81,3% foram correctamente detectados,
contrabalançando com os 12,5% de detecções incorrectas.
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Modahl, Ylva, and Caroline Skoglund. "Lokalisering av brunnar i ELISpot." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254257.
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Health is a fundamental human right. To increase global health, research in the medical sector is of great importance. Decreasing time consumption of biomedical testing could accelerate the research and development of new drugs and vaccines. This could be achieved by automation of biomedical analysis, using computerized methods. In order to perform analysis on pictures of biomedical tests, it is important to identify the area of interest (AOI) of the test. For example, cells and bacteria are commonly grown in petri dishes, in this case the AOI is the bottom area of the dish, since this is where the object of analysis is located.This study was performed with the aim to compare a few computerized methods for identifying the AOI in pictures of biomedical tests. In the study, biomedical images from a testing method called ELISpot have been used. ELISpot uses plates with up to 96 circular wells, where pictures of the separate wells were used in order to find the AOI corresponding to the bottom area of each well. The focus has been on comparing the performance of three edge detection methods. More specifically, their ability to accurately detect the edges of the well. Furthermore, a method for identifying a circle based on the detected edges was used to specify the AOI.The study shows that methods using second order derivatives for edge detection, gives the best results regarding to robustness.
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Brož, Petr. "Zpracování a analýza oftalmologických obrazů a dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219730.
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In this work is describe anatomy and physiology of the cornea. The following are the primary non-inflamatory degeneration of the cornea. Then describe the physical principles diagnostic devices for cornea – keratometer, pachymeter, Michelson interferometr and optical coherence tomography (OCT). At the end of the theoretical introduction is describes the principle of laser correction surgery – LASIK. The practical part is divided into two main objectives. The first task is propose an algorithm for automatic detection of corneal surface and then calculation of corneal thickness and size of the chamber angle in Matlab. The aim of the second task is image flap analysis for boundary detection.
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Mattsson, Per, and Andreas Eriksson. "Segmentation of Carotid Arteries from 3D and 4D Ultrasound Images." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1141.
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<p>This thesis presents a 3D semi-automatic segmentation technique for extracting the lumen surface of the Carotid arteries including the bifurcation from 3D and 4D ultrasound examinations. </p><p>Ultrasound images are inherently noisy. Therefore, to aid the inspection of the acquired data an adaptive edge preserving filtering technique is used to reduce the general high noise level. The segmentation process starts with edge detection with a recursive and separable 3D Monga-Deriche-Canny operator. To reduce the computation time needed for the segmentation process, a seeded region growing technique is used to make an initial model of the artery. The final segmentation is based on the inflatable balloon model, which deforms the initial model to fit the ultrasound data. The balloon model is implemented with the finite element method. </p><p>The segmentation technique produces 3D models that are intended as pre-planning tools for surgeons. The results from a healthy person are satisfactory and the results from a patient with stenosis seem rather promising. A novel 4D model of wall motion of the Carotid vessels has also been obtained. From this model, 3D compliance measures can easily be obtained.</p>
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McIlhagga, William. "The Canny Edge Detector Revisited." 2010. http://hdl.handle.net/10454/6090.
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McIlhagga, William H. "The Canny edge detector revisited." 2010. http://hdl.handle.net/10454/4825.
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yes<br>Canny (IEEE Trans. Pattern Anal. Image Proc. 8(6):679-698, 1986) suggested that an optimal edge detector should maximize both signal-to-noise ratio and localization, and he derived mathematical expressions for these criteria. Based on these criteria, he claimed that the optimal step edge detector was similar to a derivative of a gaussian. However, Canny's work suffers from two problems. First, his derivation of localization criterion is incorrect. Here we provide a more accurate localization criterion and derive the optimal detector from it. Second, and more seriously, the Canny criteria yield an infinitely wide optimal edge detector. The width of the optimal detector can however be limited by considering the effect of the neighbouring edges in the image. If we do so, we find that the optimal step edge detector, according to the Canny criteria, is the derivative of an ISEF filter, proposed by Shen and Castan (Graph. Models Image Proc. 54:112-133, 1992).
In addition, if we also consider detecting blurred (or non-sharp) gaussian edges of different widths, we find that the optimal blurred-edge detector is the above optimal step edge detector convolved with a gaussian. This implies that edge detection must be performed at multiple scales to cover all the blur widths in the image. We derive a simple scale selection procedure for edge detection, and demonstrate it in one and two dimensions.
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Wan-TingWeng and 翁琬婷. "High Efficient VLSI Implementation of Canny Edge Detection." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/6898t2.
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王以碩. "Improved Canny Edge Detection Method for Depth Image." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/98871763194003679210.
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碩士<br>逢甲大學<br>資訊工程學系<br>103<br>Edge detection in 3D depth images is more vital and useful than that in 2D images for the following intermediate-level and high-level vision, such as segmentation and shape reconstruction. Kinect, a lower-cost depth camera, it has been concern for many scholars. But depth image is often not very accurate and stable due to depth holes and inconsistent depth values. This paper in order to improve the effectiveness of Kinect image processing, will study the edge detection for depth image.
Now, the technology of edge detection has been very ripe, and Canny edge detection is the most popular. Canny edge detection computed the gradient magnitude and direction of the pixels, and used hysteresis thresholding to continuous edge curve. This paper will notice the result of using Canny edge detecton on depth image. We can found the result wasn’t good. Because of the gradient magnitude at the depth image was too small. Therefore, this paper will study this problem, propose a new approache. First, we rewrite the step of compute gradient which is in Canny edge detection. Then, we use Canny edge detection to detect edge from RGB image and depth image. Third, found the Roof edge of the depth image as the edge candidate. At last, we use the RGB image’s edge to locate the real edge. If the pixel is RGB image’s edge and edge candidate, this pixel is real edge.Then we make up the depth edge and get a new edge image. Our method can useful to detect depth edges accurately and provide effective assistance for other research of depth image.
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CHEN, DUNG-AN, and 陳東安. "Line Restoring Algorithm for PCB Detection Based on Canny Edge Detection." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/87459399152958914920.
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碩士<br>靜宜大學<br>資訊傳播工程學系<br>104<br>the PCB business still relies on a human when it comes to countingPCBs, and it’s a waste of human resources, therefore this research provided a PCB counting system that’s base on computer vision, in order to save time and improve efficiency. This research used a camera to take a picture of a pile of PCBs, then sent it to a computer for image analysis, by counting the straight lines in the image, the system can tell how many PCBs are in the picture, and return the result to the user. This research provided two algorithms for the PCB counting system; the first one is Automatic threshold detection for Canny edge detection, this algorithm can automatically adjust Canny edge detection’s high and low threshold base on a different picture, to find the most suitable thresholds for that particular picture, and improve the performance of Canny edge detection; the second algorithm is Error offsetting, this algorithm can check whether if there are some missing lines that can affect the result by checking the distance between every line, to prevent the situation of miss counting PCBs. This research has been tested with five piles of PCBs which content 5, 10, 12, 15 and 17 pieces of PCBs to simulated the scenario in the factory, every pile had been tested 200 times, and all the results are correct.
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Hsieh, Ming-Han, and 謝明翰. "A modified Canny Edge Detection Based on the Significance of Multiresolution." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/93994301371360452389.
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Liu, Hsu-Huan, and 劉旭桓. "DESIGN OF A SCAN CONVERTER USING THE CUBIC CONVOLUTION INTERPOLATION WITH CANNY EDGE DETECTION." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/22259197825452981698.
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碩士<br>大同大學<br>通訊工程研究所<br>98<br>With the increasing use of digital monitor technique, requirements for image interpolation have become more critical. Especially, the development of LCD screen sizes has grown up. Conventional interpolation methods have several drawbacks, such as blurring or blocky effects. Many edge detect methods have been widely used to avoid these problems but are notorious for high complexity and cost. Therefore, in order to enhance quality of image. In the thesis, we used Canny edge detection to fined image edge, the part detected transforming by nearest neighbor interpolation the other part transforming by cubic convolution interpolation. This method improves sharp of edge and resolution of image. The FPGA implementation of the proposed video scaling algorithm is from SVGA(800×600) to WXGA(1280×768) on the TFT-LCD plane at the real time video.
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Yu, Yong-jian, and 余勇健. "Combination of a novel occlusion filling with Canny edge detection segmentation for stereo depth recovery." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/18841363624453208736.
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碩士<br>國立臺灣大學<br>機械工程學研究所<br>105<br>Stereo vision is an important part of computer vision and has been research hotspot for decades. Binocular stereo vision is actually the process of mimicking human vision to obtain depth information and reconstruct 3D scenes, its application ranges from robot navigation, industrial measurement to medical treatment and military affairs, acquiring dense accurate depth maps is the main concern in our paper.
So far, the technical problems of occlusion regions, depth inconsistent and weak texture are the main obstacles in gaining accurate depth maps. Our paper propose an novel method which combines the elements of color, spatial and image segmentation information to fill the occluded pixels and the same principle is applied to the whole image pixels for consistency and integrity. Another innovation of our work is the introduction of an edge restoration mechanism which performs well in dealing with depth inconsistent region, subsequent bilateral filter and smoothing processing further improve the quality of final depth maps. We test our algorithms on Middlebury dataset and have remarkable results. Test on real-world sources of indoor and outdoor images indicates that our algorithm has good robustness, capable of gaining decent dense depth maps under various conditions.
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Wang, Chun-Chieh, and 王軍傑. "Feature-Based Disconnected Object Contour Linker Based on Canny Edge detector and Genetic Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/24147281435499260108.
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碩士<br>國立中興大學<br>資訊管理學系所<br>100<br>Object contour detection is very important in image processing. There are many edge and object contour detectors that have been proposed, such as, Canny edge detector, ACM, and level set methods. However, those detection methods have some drawbacks which lead to the incomplete edge and object contours. More precisely, in the ACM and level set methods, the initial contour of object has to be specified by a user in advance, and the segmentation results highly depend on the given initial contour. Besides, the ACM and level set methods are significantly sensitive to noise. Although Canny edge detector does not need to give any initial contour of object, it may bring about “broken edge problem.” To solve the broken edge problem and to generate the most suitable parameters, a feature-based disconnected object contour segments (FBDOC) linker based on Canny edge detector and genetic algorithm is provided in this thesis.
To extract objects from an image, in this thesis Canny edge detector is first used to detect the object contour, and then the FBDOC linker is employed to link the disconnected edge segments based on the features of the gray-level difference at vicinity of, the gradient and gradient direction on, and the length of the line segment which connects two disconnected edge segments. Finally, the genetic-based parameter detector (GBPD) is used to find the most suitable parameters continuously until the fitness function is convergent.
The experimental results show that the FBDOC linker can get the suitable parameters to use, and give more impressive object segmentation results.
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Chu, Lu Wen, and 呂文助. "The study of Canny edge detection method and morphological segmentation method to make the curves of glottal area." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/94561825139261301807.
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碩士<br>國立臺灣師範大學<br>機電科技研究所<br>99<br>Glottis servers a very major function in animals and its dynamic change is also a critical subject in physiological research. This research aims to analyze the image processing methods for glottis by using Matlab computer programming tools to estimate the glottal area and to plot the correspondent charts. We hope to simplify the manual processing of targeting glottal area in digital image and the calculation of area. The study employs Canny edge detection method and morphological segmentation method to make the curves of glottal area. The results show that the algorithm adopted by our experiments could successfully locate the edge of glottal area and form a closed-end contour to obtain the measure of glottal area. Not only would the method help further analyses, but they create higher efficiency than does the traditional active contour liner model.
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Ipson, Stanley S., Ali K. Benkhalil, Sergei I. Zharkov, Valentina V. Zharkova, J. Aboudarham, and R. D. Bentley. "A full disk image standardisation of the synoptic solar observations at the Meudon observatory." 2003. http://hdl.handle.net/10454/3053.
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No<br>Robust techniques are developed to put the H and Ca K line full-disk images taken at the Meudon Observatory into a standardised form of a `virtual solar image'. The techniques include limb fitting, removal of geometrical distortion, centre position and size standardisation and intensity normalisation. The limb fitting starts with an initial estimate of the solar centre using raw 12-bit image data and then applies a Canny edge-detection routine. Candidate edge points for the limb are selected using a histogram based method and the chosen points fitted to a quadratic function by minimising the algebraic distance using SVD. The five parameters of the ellipse fitting the limb are extracted from the quadratic function. These parameters are used to define an affine transformation that transforms the image shape into a circle. Transformed images are generated using the nearest neighbour, bilinear or bicubic interpolation. Intensity renormalisation is also required because of a limb darkening and other non-radial intensity variations. It is achieved by fitting a background function in polar coordinates to a set of sample points having the median intensities and by standardising the average brightness. Representative examples of intermediate and final processed results are presented in addition to the algorithms developed. The research was done for the European Grid of Solar Observations (EGSO) project.
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Zi-shiungTsai and 蔡子雄. "An adaptive cost aggregation method based on bilateral filter and Canny edge detector with segmented area for stereo matching." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/38205098639933194582.
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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>102<br>In traditional stereo matching method, global method is more accurate but spending more time, and have more correct rate in occlusion area. On the contrary, local method is usually fast but have bad performance, and easily is influence by noise.
This paper proposed a novel method to compute disparity between two images. It is based on local method, but its cost be aggregated in like-global way. This aggregation is processed by a weight map which created by bilateral filter concept. Every pixel transfer its own cost information to all pixels on the same object, but this information would be restricted by weight map.
After finishing preliminary depth map, we use L-R check to find occlusion and mismatch pixel. Then fix occlusion by the smallest disparity nearby. At last, we use bilateral filter clean up whole depth map.
All of above computing process can be parallelized on GPU machine or cloud sever. Although this algorithm is designed for low-level machine, it still exerts high performance in the world of high-level hardware.