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1

Vestergren, Sara, and Navid Zandpour. "Automatic Image Segmentation for Hair Masking: two Methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254258.

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We propose two different methods for image segmentation with the objective of marking contaminated regions in images from biochemical tests. The contaminated regions consists of thin hair or fibers and the purpose of this thesis is to eliminate the tedious task of masking the contaminated regions by hand by implementing automatic hair masking. Initially an algorithm based on Morphological Image Processing is presented, followed by solving the problem of pixelwise classification using a Convolutional Neural Network (CNN). Finally, the performance of each implementation is measured by comparing the segmented images with labelled images which are considered to be the ground truth. The result shows that both implementations have strong potential at successfully performing semantic segmentation on the images from the biochemical tests.
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Mushfieldt, Diego. "Robust facial expression recognition in the presence of rotation and partial occlusion." Thesis, University of Western Cape, 2014. http://hdl.handle.net/11394/3367.

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>Magister Scientiae - MSc<br>This research proposes an approach to recognizing facial expressions in the presence of rotations and partial occlusions of the face. The research is in the context of automatic machine translation of South African Sign Language (SASL) to English. The proposed method is able to accurately recognize frontal facial images at an average accuracy of 75%. It also achieves a high recognition accuracy of 70% for faces rotated to 60◦. It was also shown that the method is able to continue to recognize facial expressions even in the presence of full occlusions of the eyes, mouth and left/right sides of the face. The accuracy was as high as 70% for occlusion of some areas. An additional finding was that both the left and the right sides of the face are required for recognition. As an addition, the foundation was laid for a fully automatic facial expression recognition system that can accurately segment frontal or rotated faces in a video sequence.
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Rogéri, Jonathan Gustavo [UNESP]. "Reconhecimento de pessoas por meio da região interna da íris." Universidade Estadual Paulista (UNESP), 2011. http://hdl.handle.net/11449/98693.

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Made available in DSpace on 2014-06-11T19:29:40Z (GMT). No. of bitstreams: 0 Previous issue date: 2011-05-10Bitstream added on 2014-06-13T19:38:58Z : No. of bitstreams: 1 rogeri_jg_me_sjrp.pdf: 962940 bytes, checksum: 5f86f6439d28c1cc69d98e55069b9b90 (MD5)<br>Nos últimos anos, a segurança tornou-se uma preocupação constante da grande maioria das pessoas. Os sistemas biométricos vem ganhando destaque em soluções ligadas à segurança, uma vez que tratam de características físicas e comportamentais para reconhecimento dos indivíduos e permissões de acesso. Este trabalho objetivou a proposição e implementação de um método para reconhecimento de indivíduos por meio de características contidas na região interna da íris com um alto percentual de exatidão no reconhecimento e uma grande diminuição no tempo de processamento, se comparado aos demais métodos encontrados na literatura. No método proposto foram utilizados operadores de morfologia matemática para localização da íris, wavelet de log-Gabor para extração das características e a distância de Hamming para o reconhecimento. Os resultados experimentais obtidos utilizando a base de dados CASIA mostraram que o método é confiável e seguro, além de se destacar com relação ao baixo custo computacional<br>In the recent years, the security became a constant concern of most people. Biometric systems have been highlighted in solutions related to security, since they deal with physical and behavioral characteristics for individuals recognition and access permissions. This work aims at the implementation of a method for individuals recognition based on the characteristics of the inner region of the iris, seeking a high percentage of accuracy in the recognition and a great reduction in the processing time, as compared to other methods published so far. We use mathematical morphology to search the iris in the image, the log-Gabor wavelet for feature extraction and the Hamming distance for recognition. The experimental results obtained from CASIA database show that the method is safe and reliable, and stand out with regard to the low computational cost
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Danielová, Tereza. "Obrazová analýza mitotických chromosomů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220846.

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This master’s thesis is focused on digital image analysis of mitotic chromosomes. It deals with the design of the processing of digital images - from image preprocessing to clasification of each chromosomes, including testing on a set of images. This work introduces used cytogenetic methods, that are used to visualize chromosomes. In its practical part describes morphology operations and clasification procedure. Classification of the chomosomes was divided into 5 groups (A-G). All algorithms were created in the MATLAB program.
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5

Brown, Dane. "Faster upper body pose recognition and estimation using compute unified device architecture." Thesis, University of Western Cape, 2013. http://hdl.handle.net/11394/3455.

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>Magister Scientiae - MSc<br>The SASL project is in the process of developing a machine translation system that can translate fully-fledged phrases between SASL and English in real-time. To-date, several systems have been developed by the project focusing on facial expression, hand shape, hand motion, hand orientation and hand location recognition and estimation. Achmed developed a highly accurate upper body pose recognition and estimation system. The system is capable of recognizing and estimating the location of the arms from a twodimensional video captured from a monocular view at an accuracy of 88%. The system operates at well below real-time speeds. This research aims to investigate the use of optimizations and parallel processing techniques using the CUDA framework on Achmed’s algorithm to achieve real-time upper body pose recognition and estimation. A detailed analysis of Achmed’s algorithm identified potential improvements to the algorithm. Are- implementation of Achmed’s algorithm on the CUDA framework, coupled with these improvements culminated in an enhanced upper body pose recognition and estimation system that operates in real-time with an increased accuracy.
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Rogéri, Jonathan Gustavo. "Reconhecimento de pessoas por meio da região interna da íris /." São José do Rio Preto : [s.n.], 2011. http://hdl.handle.net/11449/98693.

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Orientador: Aledir Silveira Pereira<br>Banca: Aparecido Nilceu Marana<br>Banca: Evandro Luís Linhari Rodrigues<br>Resumo: Nos últimos anos, a segurança tornou-se uma preocupação constante da grande maioria das pessoas. Os sistemas biométricos vem ganhando destaque em soluções ligadas à segurança, uma vez que tratam de características físicas e comportamentais para reconhecimento dos indivíduos e permissões de acesso. Este trabalho objetivou a proposição e implementação de um método para reconhecimento de indivíduos por meio de características contidas na região interna da íris com um alto percentual de exatidão no reconhecimento e uma grande diminuição no tempo de processamento, se comparado aos demais métodos encontrados na literatura. No método proposto foram utilizados operadores de morfologia matemática para localização da íris, wavelet de log-Gabor para extração das características e a distância de Hamming para o reconhecimento. Os resultados experimentais obtidos utilizando a base de dados CASIA mostraram que o método é confiável e seguro, além de se destacar com relação ao baixo custo computacional<br>Abstract: In the recent years, the security became a constant concern of most people. Biometric systems have been highlighted in solutions related to security, since they deal with physical and behavioral characteristics for individuals recognition and access permissions. This work aims at the implementation of a method for individuals recognition based on the characteristics of the inner region of the iris, seeking a high percentage of accuracy in the recognition and a great reduction in the processing time, as compared to other methods published so far. We use mathematical morphology to search the iris in the image, the log-Gabor wavelet for feature extraction and the Hamming distance for recognition. The experimental results obtained from CASIA database show that the method is safe and reliable, and stand out with regard to the low computational cost<br>Mestre
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Jones, Matthew Lewis. "Examining the links between organic photovoltaic operation and complex morphological structures." Thesis, Durham University, 2015. http://etheses.dur.ac.uk/11376/.

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This thesis utilises computational simulations to investigate the relationship between morphological structure of the active layer within organic photovoltaic devices, and its impact on the device performance. Specifically, the effects of hot charge transfer states, the mixed molecular phase and fullerene aggregation on organic photovoltaic performance, and polymer crystallinity on carrier mobility, are explored using kinetic Monte Carlo simulations. These investigations agree with experimental results and shed new light on the processes of recombination, ultrafast charge separation and the utility of the amorphous phase within the context of tie-chains. A more accurate charge separation kinetic model is proposed in order to correctly describe the biexponential carrier recombination determined from Monte Carlo investigations. The model incorporates a `quasi-free' state where charges are still Coulombically bound but sufficiently separated to prevent recombination. This is conceptually similar to the cooled remains of hot charge transfer states, the effects of which are investigated on device operation and shown to provide a benefit that is strongly dependent on the aggregation of the fullerene phase, the limitation of the molecularly mixed phase and the relative charge carrier mobilities. Crystallisation within the polymer medium is then comprehensively explored using a combination of molecular dynamics and Monte Carlo simulations, along with quantum chemical calculations to help elucidate the observed annealing temperature and molecular weight dependencies of the carrier mobility for a poly(3-hexylthiophene-2,5-diyl) test system. The annealing temperature trend can be explained by increased crystallite size and order, but the molecular weight dependence is not satisfactorily explained by the crystalline regions. Instead, mobility is shown to be limited by the availability of tie-chains in the amorphous phase of the morphology, linking together crystals and providing regions of high mobility through the amorphous material.
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Láník, Aleš. "Detekce výrobků na pásovém dopravníku." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235894.

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In this master thesis, object's detection in image and tracking these objects in temporal area will be presented. First, theoretical background of the image's preprocessing, image filtration, the foreground extraction, and many others various image's features will be described. Next, design and implementation of detector will be processed. This part of my master thesis containes mainly information about detection of objects on belt conveyer Finally,results, conclusion and many supplementary data such as a photography camera's location will be shown.
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Reem, Adel Roufail. "The effect of stirred mill operation on particles breakage mechanism and their morphological features." Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/38190.

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Stirred milling is a grinding tool that is used extensively for mineral liberation, in order to achieve successful downstream processing such as flotation or leaching. The focus of this research is to understand the effect of different operating parameters on particle breakage mechanism. Operating parameters could be summarized as stress intensity on the particles which are varied by changing the mill’s agitator speed, and different ground material properties such as extreme hard/low density minerals like quartz versus soft/high density minerals like galena. Grinding performance is assessed by analysing particle size reduction and energy consumption. Breakage mechanism is evaluated using the state of the art morphological analysis and liberation. Finally, theoretical evaluation of particles flow, types of forces and energy distribution across the mill are investigated using Discrete Element Modelling (DEM). It is observed that breakage mechanisms are affected by the type of mineral and stress intensities (agitator speed) in the mill. For example, galena, the soft/high density mineral, reaches its grinding limit very fast at high agitator speed and specific energy consumption increases exponentially with the increase of the agitator speed. On the other hand, for quartz, the hard/low density mineral, the breakage rate is very slow at low agitator speed and the specific energy consumption increases linearly with the increase of the agitator speed. Fracture mechanism of the particles is also a function of the agitator speed and type of mineral. At high agitator speed, galena fractures mostly along the grain boundaries, whereas quartz breaks across the grains, which is abrasion. The morphology observation is confirmed by the DEM model, which conveyed that at higher agitator speed, the normal forces were higher than tangential forces on the galena particles compared to the ceramic grinding media particles. The core of this research is the morphology analysis, which is a novel approach to studying particle breakage mechanisms. More work is recommended in the field of morphology with other types of minerals to confirm the findings of this research. 3D liberation analysis was introduced in this research; a correlation to the conventional liberation methodology would be a major addition to the industry.
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CAI, MENG-JUN, and 蔡孟駿. "Shape registration by morphological operations." Thesis, 1990. http://ndltd.ncl.edu.tw/handle/59369199812070109535.

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Lu, Ying-Shian, and 呂盈賢. "Color Image Inpainting using Texture Synthesis and Morphological Operations." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/27949510248469624504.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>94<br>Inpainting, techniques can repair damaged photographs and remove/replace selected objects on the image. The goals and applications of inpainting are numerous. How to effectively and correctly inpaint an unknown region has become an important research topic. In this thesis, we propose a new inpainting method by using texture synthesis and morphological operations. Based on mathematical morphology, we first use opening to split damaged regions into two parts. One consists of small damaged regions and the other consists of large damaged regions on the image. We inpaint the pixel in the small damaged regions by computing the average of undamaged neighboring pixels surrounding it. For the large damaged regions, we search the most similar texture to synthesize it. Simultaneously, we apply the FFT block matching algorithm to speedup the time of searching similar textures. The proposed method is computational efficient. Experimental results look “reasonable” to the human eye.
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12

Park, Hochong. "Decomposition of structuring elements for optimal implementation of morphological operations." 1993. http://catalog.hathitrust.org/api/volumes/oclc/29767288.html.

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Thesis (Ph. D.)--University of Wisconsin--Madison, 1993.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 141-153).
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Lin, Rey-Sern, and 林瑞盛. "A Study on Feature Extraction by Morphological Operations and Fuzzy Reasoning." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/31623822520664869902.

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博士<br>國立交通大學<br>資訊科學系<br>88<br>Recently, considerable attentions have paid to improve many image problems such as noise removal, filtering, segmentation, corner detection, and edge detection. Morphological operators are defined in terms of geometric shapes and patterns in an image and have been developed for many aspects of image processing and analysis, such as noise suppression, filtering, edge detection, and skeletonization. What makes morphological operators so attractive is the fact that they involve simple logical operations and can be implemented in parallel, making real-time applications possible. On the other hand, fuzzy systems can process imprecise or uncertain input and output information defined by fuzzy sets and expressed by linguistic terms. They have developed gradually as useful and well-known tools in image processing system. In image analysis and pattern recognition, feature extraction is the most fundamental and important processing phase. Features in images can be characterized by statistic extraction and comprised by itself geometric shape, color and texture. Many geometrical features such as lines, edges, and corners represent some cues about object’s profile. They are especially important for low-level image analysis. In this dissertation, we focus on the extraction of geometrical features and model it by pre-processing phase and physical processing phase. The pre-processing, spatial filtering, will aim to eliminate the interference factors such as contamination and preserves sharpness as many as possible. The physical processing, features extracting, will aim to enhance performance, simplification, and modification by morphological operations and fuzzy reasoning. In this dissertation, an adaptive gradient weighted filters characterized by three factors, called the local constants, the local weighted functions, and the global functions are proposed in the pre-processing phase. Moreover, the multichannel filters by gradient information are extended. Since morphological operations are inherently geometric in nature, they are ideally suited for the geometrical feature extraction. A modified morphological corner detector with simple integer computation is developed firstly in physical processing phase. Digital images, being mappings of natural scenes, are always accompanied by a reasonable amount of fuzziness due to imprecision of gray values of the pixels and vagueness in the region boundaries. Then, an edge detector by multi-scale fuzzy reasoning and morphological operations is introduced. The experimental results disclose that our approaches obtain thinner edge magnitude, more correct localization, and need less input parameters than Canny operator.
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陳哲生. "Design of a configurable VLSI chip for gray-scale morphological operations." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/05555799201425972751.

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HUANG, SHIH-YAO, and 黃世堯. "An Efficient Run-Based Method for Morphological Operations and Connected Component Labeling." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/52313092206000564936.

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Lin, Chun-Chang, and 林俊昌. "A Study On Color Image Interpolation By Morphological Operations And Fuzzy Inference." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/56742019841796079717.

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碩士<br>國立交通大學<br>電子工程系<br>89<br>Color image interpolation finds application in image capture and image rescaling and as such, it is an important topic in multimedia signal processing. Mathematical morphology possesses simple but effective operators and is a well-known tool in image processing. The basic operations such as dilation, erosion, opening and closing retain the structuring features of an image such as shape. On the other hand, fuzzy logic has been popular in machine control and other industrial applications. Recently, it has also been considered for image processing such as noise removal, texture classification and edge detection. We consider their use in color image interpolation. In particular, we consider the problems of color image zoom-in and CCD/CMOS sensor color recovery. Firstly, we consider color image interpolation by simple morphological opening operation. Base on the properties of our target applications, we develop the structuring element for this purpose. For image zoom-in application, we see that the interpolation results are reasonable for most of the experimented image patterns. However, there is a little enlargement effect for small, high-intensity areas, which is undesirable. For CCD/CMOS sensor color recovery, it produces false colors. Secondly, we consider edge-classified morphological opening interpolation. We use a morphological gradient operation to classify the images into sharp and smooth areas according to the morphological gradients. After it, we use a morphological opening operator in the sharp areas and the bilinear interpolator in the smooth areas. We see that the false colors are reduced in CCD/CMOS sensor color recovery. For the enlargement effect in image zoom-in, it produces a little improvement. Finally, we consider edge-classified fuzzy interpolation, in which, after classifying the pixels in an image, we use fuzzy interpolation in sharp areas. We see that it reduces the enlargement effect and false colors. The performance of the image processing is mainly judged from human subjectivity. For reference, we list the mean square errors of the different interpolation methods. We see that the morphological opening interpolator has the most mean square errors in most patterns. That is because, opening interpolator has less error points, but the error values at the error points are larger.
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Chen, Wei-Chin, and 陳韋金. "Developing Smart Cameras Based on SOPC Infrastructure—Image Acquisition, and Morphological Operations." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/15868547763007490412.

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碩士<br>國立臺灣師範大學<br>資訊工程研究所<br>93<br>Presently, most cameras are used to supervise as a monitor system. As the camera captures the images, it transmits the images to spotters as soon as possible. However, it is neither smart nor efficient to supervise the images by supervisors. In order to supervise automatically, an advanced monitor system can analyze the obtained images through the monitor system itself. At the same time, a large number of computer devices are required in such a monitor system. The main idea for this thesis is to develop a smart camera. The camera is capable of detecting the wanted objects and analyzing. Then transmit the related information of the objects like features and position to the receiver without delay. Without staring the monitor screen all the time by the supervisors, the smart camera achieves supervising automatically. Obviously, the cost is reduced due to the less devices. In this thesis, we design a camera controller of the CMOS camera by hardware. The controller reads the images directly. Besides, we add a programmable morphological operation to process images. For verifying the real-time processing system, the Lancelot VGA controller is improved to display the result in grayscale image through the monitor screen. The platform is based on SOPC (System On Programmable Chip) with using hardware description language to develop the system.
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Chang, Yin-Pin, and 張尹彬. "Fast and Automatic Video Object Segmentation Using Background Information and Morphological Operations." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/00477264555261699511.

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碩士<br>國立交通大學<br>資訊科學系<br>91<br>The main subject is to extract out the moving object in video. There are many methods focus the object itself to process, the foreground part. These methods often are combined with spatial segmentation (Canny edge detection, the Watershed algorithm) and temporal segmentation (Motion estimation, change detection). In this thesis, our approach is based on change detection; unlike traditional change detection approach, we not only utilize the frame difference to be our reference resources of segmentation, but we use the up-to-date background information to generate a background record which is more reliable than the foreground one. Then, we use the difference between the background record and frames to obtain the initial moving object. At least, we use the morphological operations to remove noise from camera and get a new object with more smooth and complement. The experiment results show our approach indeed can make the VOPs with good quality fast and automatically.
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Hwa-Jin, Lin. "High Speed Architecture for Gray-level Morphological Operations with Arbitrary Shape Structuring Elements." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0016-1303200709254826.

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Lin, Hwa-Jin, and 林華勁. "High Speed Architecture for Gray-level Morphological Operations with Arbitrary Shape Structuring Elements." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/86690189611131771522.

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碩士<br>國立清華大學<br>電機工程學系<br>94<br>The main issue on morphological operations is the analysis of the shape and structure of an object, or dealing with the relationship of different objects. In the field of digital image processing, we could make use of this mathematical tool which is highly related to the set theory for shape-based image processing, such as image segmentation, image enhancement, pattern recognition, image compression, etc. The basis of these various applications is erosion and dilation. All the methodologies utilize these two basic functions. Nevertheless, these advanced morphological operations take great computing complexities based on erosion and dilation. Designing a high speed architecture to implement the function of erosion and dilation would be an important issue. In this thesis, we propose an architecture that can achieve relatively high speed and low hardware cost to deal with the gray-level erosion and dilation of arbitrary-shaped structure elements. Experiment is conducted with the use of FPGA, showing the great performance of the proposed architecture.
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Wu, Chien-Cheng, and 吳建成. "An Edge-oriented with Morphological Operations Hole Filling Method for Stereoscopic Image Generation." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/86003952462834915205.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>103<br>The stereoscopic image generation from 2D to 3D conversion, Depth Image Based Rendering (DIBR) technique is 2D view to multi-angle virtual view by the single depth image. Traditional smoothing depth DIBR system generates geometric distortion in synthesis virtual view. In this paper, an edge-oriented with morphological operation hole filling method for the DIBR is proposed. Applying the smooth filter in the DIBR firstly does the preprocessing of the depth image, which sharpens the discontinuous depth changes and smooth the neighboring depth of similar color and also keep noises from appearing on the warped images. The occlusion regions are applied the edge-detection to find the edge then used the morphological operations on the depth image with the background depth levels to keep the depth structure. Experimental results show that proposed method has good synthesis virtual view quality.
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Su, Chun-Rong, and 蘇俊榮. "Unsupervised Image Segmentation by Dual Morphological Operations and Peer-to-Peer Content-Based Image Retrieval Applications." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/526w75.

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博士<br>國立臺灣科技大學<br>電機工程系<br>102<br>In this thesis, we proposed to perform content-based image retrieval (CBIR) on Internet scale databases connected through peer-to-peer (P2P) networks, abbreviated as P2P-CBIR, which utilizes an intelligent preprocessing to identify the object regions and provides scalable retrieval function. For preprocessing, we proposed a dual multiScalE Graylevel mOrphological open and close recoNstructions (SEGON) algorithm, and utilized edge coverage rate to segment foreground (FG) object regions in one image. To improve FG object segmentation accuracy, a background (BG) gray-level variation mesh is built. The SEGON was developed from a macroscopic perspective on image BG gray levels and implemented through regular procedures to deal with large-scale database images. To evaluate the segmentation accuracy, the probability of coherent segmentation labeling, i.e., the normalized probability random index (PRI), between a computer-segmented image and the hand-labeled one is computed for comparisons. Experiments showed that the proposed object segmentation method outperforms others in the PRI performance. The normalized correlation coefficient of features among query samples was computed to integrate the similarity ranks of different features in order to perform multi-instance queries with multiple features (MIMF). Retrieval precision–recall (PR) and rank performances, with and without SEGON, were compared. Performing SEGON-enabled CBIR on large-scale databases yields higher PR performance. For performing Internet scale CBIR, a P2P-CBIR system has been proposed, which helps to effectively explore the large-scale image database distributed over connected peers. The decentralized unstructured P2P network topology is adopted to compromise with the structured one, and informed-like instead of blind-like searching approach enables flexible routing control when peers join/leave or network fails. The P2P-CBIR adopts MIMF to reduce average network traffics while maintaining high retrieval accuracy on the query peer. In addition, scalable retrieval control can also be developed based on the P2P-CBIR framework, which can adapt the query scope and progressively refine the accuracy during the retrieval process. We also proposed to record instant local database characteristics of peers for the P2P-CBIR system to update peer linking information. By reconfiguring system at each regular interval time, we can effectively reduce trivial peer routing and retrieval operations due to imprecise configurations. We also proposed to optimally configure the P2P-CBIR system such that, under a certain number of online users, which would yield the highest recall rate. Experiments show that the average recall rate of the proposed P2P-CBIR method with reconfiguration is higher than that of the one without, and the latter outperforms previous methods, under the same retrieval scope, i.e., same time-to-live (TTL) settings. Furthermore, simulations demonstrate that, with the optimal configuration, recall rates can be improved while the network traffic of each peer is reduced, under the same number of on-line users.
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CHEN, BO-HAN, and 陳柏翰. "A Hole Filling Method for Stereoscopic Image Generation by Applying Gradient Vector Flow and Morphological Operations." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/rhddnc.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>105<br>The stereoscopic image generation from 2D to 3D conversion, Depth Image Based Rendering (DIBR) technique is 2D view to multi-angle virtual view by the single depth image. Traditional smoothing depth DIBR system generates geometric distortion in synthesis virtual view. In this research, a local gradient guides DIBR with morphological operation hole-filling method is proposed. Applying the smooth filter in the DIBR firstly does the preprocessing of the depth image, which sharpens the discontinuous depth changes and smooth the neighboring depth of similar color and also keep noises from appearing on the warped images. To use the gradient vector flow to find the occlusion regions then used the morphological operations on the depth image with the background depth levels to keep the depth structure. Experimental results show that proposed method has good synthesis virtual view quality.
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Heva, Prasadi Thilanka Senadeera Kanda Uda. "Automation of road feature extraction from high resolution images." Master's thesis, 2021. http://hdl.handle.net/10362/113905.

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies<br>The detection of road features from remotely sensed images has become a critical factor in maintaining a reliable and updated road network in a country to provide a base reference for transportation, emergency planning, and navigation. With the recent advances of convolutional neural networks in image processing, several publications are devoted to the development of a method for automatically extract roads from satellite images. However, a reliable feature extraction method has not yet been developed with the desired accuracy and precision, and always seems to be a proportionality between the accuracy and the complexity of these developed methods. The aim of this study was therefore to develop an accurate road extraction method without compromising computational efficiency. In this paper, a semantic segmentation neural network that combines the strengths of transfer learning and U-net architecture is proposed with a minimal network complexity. Further, post-processing based on morphological operations and regional properties of the extracted segments were used to remove the noises from the final output. The results have been compared with different automatic classification and segmentation methods and the results of the proposed method produced an F1 score of 0.83 and high accuracy of 95.57%, more accurate and precise than all the other models for the freely available Massachusetts dataset. Finally, the developed method stood superior to the preexisting methods in terms of performance measure and network complexity.
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Chuang, Feng-Hsuan, and 莊逢軒. "Region-Based Image Retrieval Using Wavelet Transform and Morphological Operation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/88220378716828483093.

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碩士<br>國立交通大學<br>資訊科學系所<br>93<br>In recent year, with the rapid development of computer technology and digitize life, digital image databases have grown enormously in both size and number. How to effectively manage the large image databases is more and more important. So image retrieval has become an important research topic. Region-based image retrieval has been proven more effective than content-based image retrieval, because it overcome the deficiencies of content-based image retrieval by representing images at the object-level. The method proposed in this thesis utilizes the K-means clustering algorithm to segment the image into regions, and use the wavelet energy and morphological operator to extract texture, color and shape features to describe regions, respectively. Then we can retrieve the most similar images according the similarity between query image and database image. Experimental results indicate the proposed method is fast and robust.
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HSU, YEN-TING, and 徐嬿婷. "A Hole-Filling Approach Based on Morphological Operation for Stereoscopic Image Generation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/43277728619370916762.

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碩士<br>玄奘大學<br>資訊管理學系碩士班<br>102<br>Apply the stereoscopic image generation from 2D to 3D conversion depth image based rendering (DIBR) technique it is 2D view to multi-angle virtual view by the single depth image. The DIBR firstly does the preprocessing of the depth image by using the bilateral filter, which sharpens the discontinuous depth changes as well as to smooth the neighboring depth of similar color and also detain noises from appearing on the warped images. The disocclusion regions are applied the morphological operations on the depth image with the background depth levels to keep the depth structure. With depth-guided exemplar-based image inpainting combines the color gradient to preserve the image structure in the restored regions.
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Johnson, Dawn M. G. "New insights into the architecture and operation of olfacotry cortex from morphological study of intrinsic connections." 1999. http://catalog.hathitrust.org/api/volumes/oclc/45383770.html.

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Chiu, Chun-Yi, and 邱駿逸. "Investigation of noise reduction by 2D and 3D-morphological structure operation elements from filtered back-projection of nuclear medicine images." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/588c58.

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碩士<br>義守大學<br>資訊工程學系<br>104<br>FBP algorithm is usually used to reconstruct PET images under low count rates and fast running time for diagnostic purposes. The FBP algorithm also provides higher contrast of images compared to iterative reconstruction algorithms. However, reconstruction of PET images by FBP algorithm often yields background streak artifacts because of the limited number of projections. This study use morphological structure operation (MSO) to removing strike artifacts of noise from nuclear medicine images.   This study reconstructed Deluxe Jaszczak phantom, line source and rat of 18F-Fluorine of PET images by FBP algorithm. The 2D and 3D MSO was used to remove strike artifacts from PET images by FBP algorithm. The background standard deviation, SNR and FWHM were computed with a specific background ROI for assessed the image quality and resolution. The background standard deviation from Deluxe Jaszczak phantom, line source and rat image was decreased 83%, 37% and 30% for 2D (3x3) MSO, and image quality was increased 24%, 22% and 7%. Moreover, MSO could not be complied by loss computer equipment, or computing time be costed much for the matrix combination of 3D (3x3x3) is numerous. The useful matrix of operation elements was selected effectively and MSO of computing time be reduced for 3D MSO with optimal response curve (ORC). The background standard deviation from Deluxe Jaszczak phantom, line source and rat image was decreased 87%, 43% and 55% for 3D MSO, and image quality was increased 28%, 24% and 12%.   The FWHM of Deluxe Jaszczak phantom was 31.25 and 37.50 mm for 2D and 3D MSO. Deluxe Jaszczak phantom of images were loss image resolution for over correction by 3D MSO with ORC and compared 2D MSO. The FWHM of line source were 2.46 and 2.21 mm for 2D and 3D MSO. Line source of images were better image resolution by 3D MSO with ORC. The result of phantom study had been over correction for inhomogeneous image. The running costs are 1925, 3689 and 3446 seconds for 2D MSO, and 219, 101 and 100 seconds for 3D MSO with ORC. The result of computing time was long by 2D MSO due to slices was estimated each during process of 2D MSO.   The 3D MSO with ORC was used to decrease noise and provides better image quality effectively. Although these study of part results were loss image resolution for inhomogeneous image. In the future, new selection of matrix combination method has been discovered and resolved problem of loss image resolution with 3D MSO.
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Chang, Yi-Min, and 張逸民. "Urban Morphological Difference between Planning Control and Actual Development—from the Housing Developers' Operational Logic on Kaohsiung Nei-Wei-Pi Special Cultural District." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/48534581903089551979.

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碩士<br>國立成功大學<br>都市計劃學系碩博士班<br>97<br>This paper reviews the difference between urban design guidelines and actual development though retracing the theory of urban morphology and the logic of morphological control. The convention of the developers’ operation helps us to understand the relationship of the urban morphology and the developers. We take the first case of urban design guidelines in Kaohsiung City, “Nei-Wei-Pi” Special Culture District, as site. We find that the differences do exist because all the developers in the housing industry evolve by their ability to survive. The 40 hectare park and the Museum of Fine Arts only ensure the values of the property which face the park and Museum directly. The urban design guidelines of this area only control the setback and the appearance, but do nothing of the chaos of building types. There are three types of buildings and four types of developers on the site. The developers’ decisions about product positioning, land purchasing, and equipments choice are according to the customers and their life styles and reflect the imagination of what kinds of family live in this kinds of urban morphology. The urban design review principles should emphasize that the key position in natural resource and focus on the building type, pedestrian connection, plaza setting, and housing community. We suggest that the review of urban morphological control needs a well-structured frame of spatial elements, the study of how these developers understand the urban morphology to imagine the households and building types should be further, and the guidelines should negotiated by public and private sector.
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Yu, Ying chin, and 游英欽. "The effects of medium composition and operating conditions on the producton of extracellular polysaccharide by Ganoderma lucidumRZ and its morphological change in shake-flask and batchwise fermentatio." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/78709872650074240895.

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碩士<br>國立交通大學<br>生物科技研究所<br>84<br>The Production of extracellular by Ganoderma lucidumRZ carried out in shake flasks as well as in batch submerged fermentation was investigated in this study. In shake-flask experiments,the target polysaccharide was accumulated extracellularlyduring both the growth and stationary phases of the microorganism. Medium HCHN and HCLac with high initial glucose concentration resulted in high product concentration and highspecific productivity.Using peptone as nitrogen source was also shown advantageous for cell growth.After extracted by hot water,some intracellular glucan could also be recovered. During batch-wise fermentation cultivation,the yeast-like growth dominated the culture at high pH values.Under the culture condition of pH 4.5,the yeast-like growth was obviously inhibited whereas pellet and mycellium dominated the culture.Our results reveal that when pH was kept constant at 4.5,the largest specific growth rat was obtained.In addition,its product formation rate and the specific productivity were higher than those of the other controlled cultures.In the experiment ith pH control and pellet inoculation,the demand of dissolved oxygen for cells was extremely larger than that in the uncontrolled experiment.In our study,we also found that the acidic environment caused by purging carbon dioxide would inhibit the growth of the microorganism.
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