Log in

Relevant bibliographies by topics / Image Processing and Feature Extraction / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Image Processing and Feature Extraction.

Dissertations / Theses on the topic 'Image Processing and Feature Extraction'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 dissertations / theses for your research on the topic 'Image Processing and Feature Extraction.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Ljumić, Elvis. "Image feature extraction using fuzzy morphology." Diss., Online access via UMI:, 2007.

Find full text

Abstract:

Thesis (Ph. D.)--State University of New York at Binghamton, Department of Systems Science and Industrial Engineering, Thomas J. Watson School of Engineering and Applied Science, 2007.<br>Includes bibliographical references.

APA, Harvard, Vancouver, ISO, and other styles

2

Lim, Suryani. "Feature extraction, browsing and retrieval of images." Monash University, School of Computing and Information Technology, 2005. http://arrow.monash.edu.au/hdl/1959.1/9677.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Lorentzon, Matilda. "Feature Extraction for Image Selection Using Machine Learning." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142095.

Full text

Abstract:

During flights with manned or unmanned aircraft, continuous recording can result in avery high number of images to analyze and evaluate. To simplify image analysis and tominimize data link usage, appropriate images should be suggested for transfer and furtheranalysis. This thesis investigates features used for selection of images worthy of furtheranalysis using machine learning. The selection is done based on the criteria of havinggood quality, salient content and being unique compared to the other selected images.The investigation is approached by implementing two binary classifications, one

APA, Harvard, Vancouver, ISO, and other styles

4

Nilsson, Mikael. "On feature extraction and classification in speech and image processing /." Karlskrona : Department of Signal Processing, School of Engineering, Blekinge Institute of Technology, 2007. http://www.bth.se/fou/forskinfo.nsf/allfirst2/fcbe16e84a9ba028c12573920048bce9?OpenDocument.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Lee, Kai-wah. "Mesh denoising and feature extraction from point cloud data." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B42664330.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Lee, Kai-wah, and 李啟華. "Mesh denoising and feature extraction from point cloud data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42664330.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Rees, Stephen John. "Feature extraction and object recognition using conditional morphological operators." Thesis, University of South Wales, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.265731.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Shi, Qiquan. "Low rank tensor decomposition for feature extraction and tensor recovery." HKBU Institutional Repository, 2018. https://repository.hkbu.edu.hk/etd_oa/549.

Full text

Abstract:

Feature extraction and tensor recovery problems are important yet challenging, particularly for multi-dimensional data with missing values and/or noise. Low-rank tensor decomposition approaches are widely used for solving these problems. This thesis focuses on three common tensor decompositions (CP, Tucker and t-SVD) and develops a set of decomposition-based approaches. The proposed methods aim to extract low-dimensional features from complete/incomplete data and recover tensors given partial and/or grossly corrupted observations.;Based on CP decomposition, semi-orthogonal multilinear principa

APA, Harvard, Vancouver, ISO, and other styles

9

Marrugo, Hernández Andrés G. (Andrés Guillermo). "Comprehensive retinal image analysis: image processing and feature extraction techniques oriented to the clinical task." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/134698.

Full text

Abstract:

Medical digital imaging has become a key element of modern health care procedures. It provides a visual documentation, a permanent record for the patients, and most importantly the ability to extract information about many diseases. Ophthalmology is a field that is heavily dependent on the analysis of digital images because they can aid in establishing an early diagnosis even before the first symptoms appear. This dissertation contributes to the digital analysis of such images and the problems that arise along the imaging pipeline, a field that is commonly referred to as retinal image analysis

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Yuanxun. "Radar signature prediction and feature extraction using advanced signal processing techniques /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Gonulsen, Aysegul. "Feature Extraction Of Honeybee Forewings And Hindlegs Using Image Processing And Active Contours." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604738/index.pdf.

Full text

Abstract:

Honeybees have a rich genetic diversity in Anatolia. This is reflected in the presence of numerous subspecies of honeybee in Turkey. In METU, Department of Biology, honeybee populations of different regions in Turkey are investigated in order to characterize population variation in these regions. A total of 23 length and angle features belonging to the honeybee hindlegs and forewings are measured in these studies using a microscope and a monitor. These measurements are carried out by placing rulers on the monitor that shows the honeybee image and getting the length and angle features. However,

APA, Harvard, Vancouver, ISO, and other styles

12

He, Xiaochen. "Feature extraction from two consecutive traffic images for 3D wire frame reconstruction of vehicle." Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B3786791X.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

He, Xiaochen, and 何小晨. "Feature extraction from two consecutive traffic images for 3D wire frame reconstruction of vehicle." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2006. http://hub.hku.hk/bib/B3786791X.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Wigdahl, Jeffrey. "Retinal Vascular Measurement Tools for Diagnostic Feature Extraction." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3423246.

Full text

Abstract:

The contributions of this work are in the development of new and state of the art algorithms for retinal image analysis including optic disc detection, tortuosity estimation, and cross-over abnormality detection. The retina is one of the only areas of the human body that blood vessels can be visualized noninvasively. Retinal imaging has become a standard in the ophthalmologist’s office because it is an easy and inexpensive way to monitor not just eye health, but also systemic vascular diseases. Changes to the retinal vasculature can be the early signs of diseases such as diabetic and hyperte

APA, Harvard, Vancouver, ISO, and other styles

15

Li, Qi. "An integration framework of feature selection and extraction for appearance-based recognition." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 8.38 Mb., 141 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3220745.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Wong, Kok Cheong. "Representation, feature extraction and geometric constraints for recognising 3D objects from a single perspective view." Thesis, University of Surrey, 1992. http://epubs.surrey.ac.uk/843449/.

Full text

Abstract:

This dissertation considers the problem of modelling, feature extraction and recognizing 3D objects from a single perspective view. A solid modelling system based on generalized cylinder is presented. A new algorithm is proposed for grouping 2D line segments into intermediate token features to be used as geometric cues for indexing into the model database and for generating hypotheses for polyhedral objects. A polyhedral object recognition system using a hypothesis and verification paradigm has been proposed and developed. In the modelling system, generalized cylinders are used as geometric pr

APA, Harvard, Vancouver, ISO, and other styles

17

Kiang, Kai-Ming Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Natural feature extraction as a front end for simultaneous localization and mapping." Awarded by:University of New South Wales. School of Mechanical and Manufacturing Engineering, 2006. http://handle.unsw.edu.au/1959.4/26960.

Full text

Abstract:

This thesis is concerned with algorithms for finding natural features that are then used for simultaneous localisation and mapping, commonly known as SLAM in navigation theory. The task involves capturing raw sensory inputs, extracting features from these inputs and using the features for mapping and localising during navigation. The ability to extract natural features allows automatons such as robots to be sent to environments where no human beings have previously explored working in a way that is similar to how human beings understand and remember where they have been. In extracting natural

APA, Harvard, Vancouver, ISO, and other styles

18

Choi, Hyunjong. "Medical Image Registration Using Artificial Neural Network." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1523.

Full text

Abstract:

Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where multiple images are acquired from different sensors at various points in time. This allows doctors to monitor the effects of treatments on patients in a certain region of interest over time. In this thesis, artificial neural networks with curvelet keypoints are used to estimate the parameters of registra

APA, Harvard, Vancouver, ISO, and other styles

19

Wall, Helene. "Context-Based Algorithm for Face Detection." Thesis, Linköping University, Department of Science and Technology, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-4171.

Full text

Abstract:

<p>Face detection has been a research area for more than ten years. It is a complex problem due to the high variability in faces and amongst faces; therefore it is not possible to extract a general pattern to be used for detection. This is what makes the face detection problem a challenge.</p><p>This thesis gives the reader a background to the face detection problem, where the two main approaches of the problem are described. A face detection algorithm is implemented using a context-based method in combination with an evolving neural network. The algorithm consists of two majors steps: detect

APA, Harvard, Vancouver, ISO, and other styles

20

Porter, Reid. "Evolution on FPGAs for feature extraction." Thesis, Queensland University of Technology, 2001.

Find full text

APA, Harvard, Vancouver, ISO, and other styles

21

Elbita, Abdulhakim M. "Efficient Processing of Corneal Confocal Microscopy Images. Development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6463.

Full text

Abstract:

Corneal diseases are one of the major causes of visual impairment and blindness worldwide. Used for diagnoses, a laser confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, ophthalmologists can extract clinical information on the state of health of a patient’s cornea. However, many factors impede ophthalmologists in forming diagnoses starting with the large number and variable quality of the individual images (blurring, non-uniform illumination within images, variable illumination between images and noise), and there

APA, Harvard, Vancouver, ISO, and other styles

22

Elbita, Abdulhakim Mehemed. "Efficient processing of corneal confocal microscopy images : development of a computer system for the pre-processing, feature extraction, classification, enhancement and registration of a sequence of corneal images." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/6463.

Full text

Abstract:

Corneal diseases are one of the major causes of visual impairment and blindness worldwide. Used for diagnoses, a laser confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, ophthalmologists can extract clinical information on the state of health of a patient’s cornea. However, many factors impede ophthalmologists in forming diagnoses starting with the large number and variable quality of the individual images (blurring, non-uniform illumination within images, variable illumination between images and noise), and there

APA, Harvard, Vancouver, ISO, and other styles

23

Presti, G. "SIGNAL TRANSFORMATIONS FOR IMPROVING INFORMATION REPRESENTATION, FEATURE EXTRACTION AND SOURCE SEPARATION." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/470676.

Full text

Abstract:

Questa tesi riguarda nuovi metodi di rappresentazione del segnale nel dominio tempo-frequenza, tali da mostrare le informazioni ricercate come dimensioni esplicite di un nuovo spazio. In particolare due trasformate sono introdotte: lo Spazio di Miscelazione Bivariato (Bivariate Mixture Space) e il Campo della Struttura Spettro-Temporale (Spectro-Temporal Structure-Field). La prima trasformata mira a evidenziare le componenti latenti di un segnale bivariato basandosi sul comportamento di ogni componente frequenziale (ad esempio a fini di separazione delle sorgenti); la seconda trasformata mira

APA, Harvard, Vancouver, ISO, and other styles

24

Doo, Seung Ho. "Analysis, Modeling & Exploitation of Variability in Radar Images." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1461256996.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

González, García Jaime. "Proposal For a Vision-Based Cell Morphology Analysis System." Thesis, Linköping University, Linköping University, Department of Electrical Engineering, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-15872.

Full text

Abstract:

<p>One of the fields where image processing finds its application but that remains as anunexplored territory is the analysis of cell morphology. This master thesis proposes a systemto carry out this research and sets the necessary technical basis to make it feasible, rangingfrom the processing of time-lapse sequences using image segmentation to the representation,description and classification of cells in terms of morphology.</p><p>Due to the highly variability of cell morphological characteristics several segmentationmethods have been implemented to face each of the problems encountered: Edge

APA, Harvard, Vancouver, ISO, and other styles

26

Solis, Montero Andres. "Efficient Feature Extraction for Shape Analysis, Object Detection and Tracking." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34830.

Full text

Abstract:

During the course of this thesis, two scenarios are considered. In the first one, we contribute to feature extraction algorithms. In the second one, we use features to improve object detection solutions and localization. The two scenarios give rise to into four thesis sub-goals. First, we present a new shape skeleton pruning algorithm based on contour approximation and the integer medial axis. The algorithm effectively removes unwanted branches, conserves the connectivity of the skeleton and respects the topological properties of the shape. The algorithm is robust to significant boundary noise

APA, Harvard, Vancouver, ISO, and other styles

27

Shah, Vijay Pravin. "A wavelet-based approach to primitive feature extraction, region-based segmentation, and identification for image information mining." Diss., Mississippi State : Mississippi State University, 2007. http://library.msstate.edu/etd/show.asp?etd=etd-07062007-134150.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Mohamed, Aamer S. S. "From content-based to semantic image retrieval. Low level feature extraction, classification using image processing and neural networks, content based image retrieval, hybrid low level and high level based image retrieval in the compressed DCT domain." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4438.

Full text

Abstract:

Digital image archiving urgently requires advanced techniques for more efficient storage and retrieval methods because of the increasing amount of digital. Although JPEG supply systems to compress image data efficiently, the problems of how to organize the image database structure for efficient indexing and retrieval, how to index and retrieve image data from DCT compressed domain and how to interpret image data semantically are major obstacles for further development of digital image database system. In content-based image, image analysis is the primary step to extract useful information from

APA, Harvard, Vancouver, ISO, and other styles

29

Mohamed, Aamer Saleh Sahel. "From content-based to semantic image retrieval : low level feature extraction, classification using image processing and neural networks, content based image retrieval, hybrid low level and high level based image retrieval in the compressed DCT domain." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4438.

Full text

Abstract:

Digital image archiving urgently requires advanced techniques for more efficient storage and retrieval methods because of the increasing amount of digital. Although JPEG supply systems to compress image data efficiently, the problems of how to organize the image database structure for efficient indexing and retrieval, how to index and retrieve image data from DCT compressed domain and how to interpret image data semantically are major obstacles for further development of digital image database system. In content-based image, image analysis is the primary step to extract useful information from

APA, Harvard, Vancouver, ISO, and other styles

30

Lakemond, Ruan. "Multiple camera management using wide baseline matching." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/37668/1/Ruan_Lakemond_Thesis.pdf.

Full text

Abstract:

Camera calibration information is required in order for multiple camera networks to deliver more than the sum of many single camera systems. Methods exist for manually calibrating cameras with high accuracy. Manually calibrating networks with many cameras is, however, time consuming, expensive and impractical for networks that undergo frequent change. For this reason, automatic calibration techniques have been vigorously researched in recent years. Fully automatic calibration methods depend on the ability to automatically find point correspondences between overlapping views. In typical camera

APA, Harvard, Vancouver, ISO, and other styles

31

Rydberg, Anna. "Multispectral image analysis for extraction of remotely sensed features in agricultural fields /." Uppsala : Centre for Image Analysis, Swedish Univ. of Agricultural Sciences (Centrum för bildanalys, Sveriges lantbruksuniv.), 2001. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=009768972&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Guo, Y. (Yimo). "Image and video analysis by local descriptors and deformable image registration." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526201412.

Full text

Abstract:

Abstract Image description plays an important role in representing inherent properties of entities and scenes in static images. Within the last few decades, it has become a fundamental issue of many practical vision tasks, such as texture classification, face recognition, material categorization, and medical image processing. The study of static image analysis can also be extended to video analysis, such as dynamic texture recognition, classification and synthesis. This thesis contributes to the research and development of image and video analysis from two aspects. In the first part of this wo

APA, Harvard, Vancouver, ISO, and other styles

33

Youmaran, Richard. "Algorithms to Process and Measure Biometric Information Content in Low Quality Face and Iris Images." Thesis, Université d'Ottawa / University of Ottawa, 2011. http://hdl.handle.net/10393/19729.

Full text

Abstract:

Biometric systems allow identification of human persons based on physiological or behavioral characteristics, such as voice, handprint, iris or facial characteristics. The use of face and iris recognition as a way to authenticate user’s identities has been a topic of research for years. Present iris recognition systems require that subjects stand close (<2m) to the imaging camera and look for a period of about three seconds until the data are captured. This cooperative behavior is required in order to capture quality images for accurate recognition. This will eventually restrict the amount of

APA, Harvard, Vancouver, ISO, and other styles

34

Peacegood, Gillian. "A knowledge-based system for extraction and recognition of linear features in high resolution remotely-sensed imagery." Thesis, Kingston University, 1989. http://eprints.kingston.ac.uk/20529/.

Full text

Abstract:

A knowledge-based system for the automatic extraction and recognition of linear features from digital imagery has been developed, with a knowledge base applied to the recognition of linear features in high resolution remotely sensed imagery, such as SPOT HRV and XS, Thematic Mapper and high altitude aerial photography. In contrast to many knowledge-based vision systems, emphasis is placed on uncertainty and the exploitation of context via statistical inferencing techniques, and issues of strategy and control are given less emphasis. Linear features are extracted from imagery, which may be mult

APA, Harvard, Vancouver, ISO, and other styles

35

Romanenko, Ilya. "Novel image processing algorithms and methods for improving their robustness and operational performance." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16340.

Full text

Abstract:

Image processing algorithms have developed rapidly in recent years. Imaging functions are becoming more common in electronic devices, demanding better image quality, and more robust image capture in challenging conditions. Increasingly more complicated algorithms are being developed in order to achieve better signal to noise characteristics, more accurate colours, and wider dynamic range, in order to approach the human visual system performance levels.

APA, Harvard, Vancouver, ISO, and other styles

36

Yanni, Mamdouh. "The influence of thresholding and spatial resolution variations on the performance of the complex moments descriptor feature extractor." Thesis, University of Kent, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262371.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Svensson, Henrik. "Simultaneous Localization And Mapping in a Marine Environment using Radar Images." Thesis, Linköping University, Automatic Control, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20845.

Full text

Abstract:

<p>Simultaneous Localization And Mapping (SLAM) is a process of mapping an unknown environment and at the same time keeping track of the position within this map. In this theses, SLAM is performed in a marine environent using radar images only.</p><p>A SLAM solution is presented. It uses SIFT to compare pairs of radar images. From these comparisons, measurements of the boat movements are obtained. A type of Kalman filter (Exactly Sparse Delayed-state Filter, ESDF) uses these measurements to estimate the trajectory of the boat. Once the trajectory is estimated, the radar images are joined toget

APA, Harvard, Vancouver, ISO, and other styles

38

Ditzenberger, David A. "Selection and extraction of local geometric features for two dimensional model-based object recognition." Virtual Press, 1992. http://liblink.bsu.edu/uhtbin/catkey/834526.

Full text

Abstract:

A topic of computer vision that has been recently studied by a substantial number of scientists is the recognition of objects in digitized gray scale images. The primary goal of model-based object recognition research is the efficient and precise matching of features extracted from sensory data with the corresponding features in an object model database. A source of difficulty during the feature extraction is the determination and representation of pertinent attributes from the sensory data of the objects in the image. In addition, features which are visible from a single vantage point are not

APA, Harvard, Vancouver, ISO, and other styles

39

Kasaei, Shohreh. "Fingerprint analysis using wavelet transform with application to compression and feature extraction." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36053/7/36053_Digitised_Thesis.pdf.

Full text

Abstract:

The main goal of this research is to design an efficient compression al~ gorithm for fingerprint images. The wavelet transform technique is the principal tool used to reduce interpixel redundancies and to obtain a parsimonious representation for these images. A specific fixed decomposition structure is designed to be used by the wavelet packet in order to save on the computation, transmission, and storage costs. This decomposition structure is based on analysis of information packing performance of several decompositions, two-dimensional power spectral density, effect of each frequency

APA, Harvard, Vancouver, ISO, and other styles

40

Uher, Václav. "Zjišťování příznaků z obrazových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219307.

Full text

Abstract:

Image processing is one area of signal analysis. This thesis is involved in feature extraction from image data and its implementation using Java programming language. The main contribution of this thesis lies in develop features extractors and their implementation in the program RapidMiner. The result is a robust tool for image analysis. The functionality of each operator is tested on mammogram images. A function model was developed for the removal of artifacts from the mammography images. The success rate of removal is comparable with other similar works. Furthermore, learning algorithms were

APA, Harvard, Vancouver, ISO, and other styles

41

Joginipelly, Arjun Kumar. "Efficient FPGA Architectures for Separable Filters and Logarithmic Multipliers and Automation of Fish Feature Extraction Using Gabor Filters." ScholarWorks@UNO, 2014. http://scholarworks.uno.edu/td/1876.

Full text

Abstract:

Convolution and multiplication operations in the filtering process can be optimized by minimizing the resource utilization using Field Programmable Gate Arrays (FPGA) and separable filter kernels. An FPGA architecture for separable convolution is proposed to achieve reduction of on-chip resource utilization and external memory bandwidth for a given processing rate of the convolution unit. Multiplication in integer number system can be optimized in terms of resources, operation time and power consumption by converting to logarithmic domain. To achieve this, a method altering the filter weights

APA, Harvard, Vancouver, ISO, and other styles

42

Dahal, Ashok. "Detection of Ulcerative Colitis Severity and Enhancement of Informative Frame Filtering Using Texture Analysis in Colonoscopy Videos." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc822759/.

Full text

Abstract:

There are several types of disorders that affect our colon’s ability to function properly such as colorectal cancer, ulcerative colitis, diverticulitis, irritable bowel syndrome and colonic polyps. Automatic detection of these diseases would inform the endoscopist of possible sub-optimal inspection during the colonoscopy procedure as well as save time during post-procedure evaluation. But existing systems only detects few of those disorders like colonic polyps. In this dissertation, we address the automatic detection of another important disorder called ulcerative colitis. We propose a novel t

APA, Harvard, Vancouver, ISO, and other styles

43

Ahmed, Omar Wahab. "Enhanced flare prediction by advanced feature extraction from solar images : developing automated imaging and machine learning techniques for processing solar images and extracting features from active regions to enable the efficient prediction of solar flares." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5407.

Full text

Abstract:

Space weather has become an international issue due to the catastrophic impact it can have on modern societies. Solar flares are one of the major solar activities that drive space weather and yet their occurrence is not fully understood. Research is required to yield a better understanding of flare occurrence and enable the development of an accurate flare prediction system, which can warn industries most at risk to take preventative measures to mitigate or avoid the effects of space weather. This thesis introduces novel technologies developed by combining advances in statistical physics, imag

APA, Harvard, Vancouver, ISO, and other styles

44

Ahmed, Omar W. "Enhanced flare prediction by advanced feature extraction from solar images : developing automated imaging and machine learning techniques for processing solar images and extracting features from active regions to enable the efficient prediction of solar flares." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5407.

Full text

Abstract:

Space weather has become an international issue due to the catastrophic impact it can have on modern societies. Solar flares are one of the major solar activities that drive space weather and yet their occurrence is not fully understood. Research is required to yield a better understanding of flare occurrence and enable the development of an accurate flare prediction system, which can warn industries most at risk to take preventative measures to mitigate or avoid the effects of space weather. This thesis introduces novel technologies developed by combining advances in statistical physics

APA, Harvard, Vancouver, ISO, and other styles

45

Mohammed, Abdulmalik. "Obstacle detection and emergency exit sign recognition for autonomous navigation using camera phone." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/obstacle-detection-and-emergency-exit-sign-recognition-for-autonomous-navigation-using-camera-phone(e0224d89-e743-47a4-8c68-52f718457098).html.

Full text

Abstract:

In this research work, we develop an obstacle detection and emergency exit sign recognition system on a mobile phone by extending the feature from accelerated segment test detector with Harris corner filter. The first step often required for many vision based applications is the detection of objects of interest in an image. Hence, in this research work, we introduce emergency exit sign detection method using colour histogram. The hue and saturation component of an HSV colour model are processed into features to build a 2D colour histogram. We backproject a 2D colour histogram to detect emergen

APA, Harvard, Vancouver, ISO, and other styles

46

ROLFO, DANIELE. "High-performance hardware accelerators for image processing in space applications." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2616951.

Full text

Abstract:

Mars is a hard place to reach. While there have been many notable success stories in getting probes to the Red Planet, the historical record is full of bad news. The success rate for actually landing on the Martian surface is even worse, roughly 30%. This low success rate must be mainly credited to the Mars environment characteristics. In the Mars atmosphere strong winds frequently breath. This phenomena usually modifies the lander descending trajectory diverging it from the target one. Moreover, the Mars surface is not the best place where performing a safe land. It is pitched by many and clo

APA, Harvard, Vancouver, ISO, and other styles

47

PUTZU, LORENZO. "Computer aided diagnosis algorithms for digital microscopy." Doctoral thesis, Università degli Studi di Cagliari, 2016. http://hdl.handle.net/11584/266877.

Full text

Abstract:

Automatic analysis and information extraction from an image is still a highly chal- lenging research problem in the computer vision area, attempting to describe the image content with computational and mathematical techniques. Moreover the in- formation extracted from the image should be meaningful and as most discrimi- natory as possible, since it will be used to categorize its content according to the analysed problem. In the Medical Imaging domain this issue is even more felt because many important decisions that affect the patient care, depend on the use- fulness of the information

APA, Harvard, Vancouver, ISO, and other styles

48

Barakat, Serena, and Mahesh Chathuranga. "Improving Hashtag Recommendation for Instagram Images by Considering Hashtag Relativity and Sentiment." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-29455.

Full text

Abstract:

Extracting knowledge from user-generated content (UGC) in social media platforms is a very hot research topic in the area of machine learning, nonetheless, the main challenge resides in the fact that UGC carries inference, abstraction and subjectivity alongside objectivity. With the aim of recognising the importance of subjectivity as an influential aspect for providing humanoid results from a machine learning algorithm, this study proposes a novel approach to improve Instagram hashtag recommendation by considering sentiment that can be expressed for images. Two main points are studied in this

APA, Harvard, Vancouver, ISO, and other styles

49

Khorshed, Reema A. A. "A cell level automated approach for quantifying antibody staining in immunohistochemistry images : a structural approach for quantifying antibody staining in colonic cancer spheroid images by integrating image processing and machine learning towards the implementation of computer aided scoring of cancer markers." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/5763.

Full text

Abstract:

Immunohistological (IHC) stained images occupy a fundamental role in the pathologist's diagnosis and monitoring of cancer development. The manual process of monitoring such images is a subjective, time consuming process that typically relies on the visual ability and experience level of the pathologist. A novel and comprehensive system for the automated quantification of antibody inside stained cell nuclei in immunohistochemistry images is proposed and demonstrated in this research. The system is based on a cellular level approach, where each nucleus is individually analyzed to observe the eff

APA, Harvard, Vancouver, ISO, and other styles

50

Kachouri, Rostom. "Classification multi-modèles des images dans les bases Hétérogènes." Phd thesis, Université d'Evry-Val d'Essonne, 2010. http://tel.archives-ouvertes.fr/tel-00526649.

Full text

Abstract:

La reconnaissance d'images est un domaine de recherche qui a été largement étudié par la communauté scientifique. Les travaux proposés dans ce cadre s'adressent principalement aux diverses applications des systèmes de vision par ordinateur et à la catégorisation des images issues de plusieurs sources. Dans cette thèse, on s'intéresse particulièrement aux systèmes de reconnaissance d'images par le contenu dans les bases hétérogènes. Les images dans ce type de bases appartiennent à différents concepts et représentent un contenu hétérogène. Pour ce faire, une large description permettant d'assure

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!