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Dissertations / Theses on the topic 'Region-Based Segmentation'

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Published: 5 June 2025

Last updated: 16 July 2025

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1

Basman, Antranig Michael. "Statistical region-based segmentation." Thesis, University of Cambridge, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.621868.

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Yurick, Micheal. "A region-based filter for video segmentation." Thesis, University of British Columbia, 2006. http://hdl.handle.net/2429/31501.

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This thesis addresses the problem of extracting object masks from video sequences. It presents an online, dynamic system for creating appearance masks of an arbitrary object of interest contained in a video sequence, while making minimal assumptions about the appearance and motion of the objects and scene being imaged. It examines a region-based approach, in contrast to more recently popular pixel-wise approaches to segmentation to illustrate the advantages in the reduction of the complexity of the labeling problem. The redundancy of information typically present in a pixel-wise approac

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Monteiro, Fernando C. "Region-based spatial and temporal image segmentation." Doctoral thesis, Universidade do Porto, Faculdade de Engenharia, 2008. http://hdl.handle.net/10198/1835.

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This work discusses region-based representations for image and video sequence segmentation. It presents effective image segmentation techniques and demonstrates how these techniques may be integrated into algorithms that solve some of the motion segmentation problems. The region-based representation offers a way to perform a first level of abstraction and to reduce the number of elements to process with respect to the classical pixel-based representation. Motion segmentation is a fundamental technique for the analysis and the understanding of image sequences of real scenes. Motion segmentatio

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Rambaruth, Ratna. "Region-based video compression." Thesis, University of Surrey, 1999. http://epubs.surrey.ac.uk/843377/.

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First generation image coding standards are now well-established and coders based on these standards are commercially available. However, for emerging applications, good quality at even lower bitrates is required. Ways of exploiting higher level visual information are currently being explored by the research community in order to achieve high compression. Unfortunately very high level approaches are bound to be restrictive as they are highly dependent on the accuracy of lower-level vision operations. Region-based coding only relies on mid-level image processing and thus is viewed as a promisin

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Takahashi, Kuniaki 1973. "Edge and region segmentation based video coding method." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/46189.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.<br>Includes bibliographical references (p. 61-63).<br>by Kuniaki Takahashi.<br>B.S.<br>M.Eng.

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HAPP, PATRICK NIGRI. "A DISTRIBUTED REGION GROWING IMAGE SEGMENTATION BASED ON MAPREDUCE." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=34941@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE EXCELENCIA ACADEMICA<br>A Segmentação de imagens representa uma etapa fundamental na análise de imagens e geralmente envolve um alto custo computacional, especialmente ao lidar com grandes volumes de dados. Devido ao significativo aumento nas resoluções espaciais, espectrais e temporais das imagens de sensoriamento remoto nos últimos anos, as soluções sequenciais e paralelas atualmente empregadas não c

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Ersoy, Ozan. "Image Segmentation With Improved Region Modeling." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12605627/index.pdf.

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Image segmentation is an important research area in digital image processing with several applications in vision-guided autonomous robotics, product quality inspection, medical diagnosis, the analysis of remotely sensed images, etc. The aim of image segmentation can be defined as partitioning an image into homogeneous regions in terms of the features of pixels extracted from the image. Image segmentation methods can be classified into four main categories: 1) clustering methods, 2) region-based methods, 3) hybrid methods, and 4) bayesian methods. In this thesis, major image segmentation metho

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Gallego, Vila Jaime. "Parametric region-based foreround segmentation in planar and multi-view sequences." Doctoral thesis, Universitat Politècnica de Catalunya, 2013. http://hdl.handle.net/10803/130813.

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Foreground segmentation in video sequences is an important area of the image processing that attracts great interest among the scientist community, since it makes possible the detection of the objects that appear in the sequences under analysis, and allows us to achieve a correct performance of high level applications which use foreground segmentation as an initial step. The current Ph.D. thesis entitled Parametric Region-Based Foreground Segmentation in Planar and Multi-View Sequences details, in the following pages, the research work carried out within this eld. In this investigation, we p

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Budihal, Prasad Adhokshaja Achar. "Region of Interest Based Compression of Grayscale Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5842.

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Image compression based on Region of Interest (ROI) has been one of the hot topics of interest in image processing. There is not a single widely accepted method for detecting the ROI automatically form an image. To reduce the transmission bandwidth and storage space requirements of gray scale images, an algorithm is suggested for detecting the ROI automatically based on Tsallis entropy method. Tsallis entropy method is used to segment the image into two segments, the ROI and the background. These two segments can then be compressed at different rates, to avoid losing information in the ROI whi

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Ahmady, Phoulady Hady. "Adaptive Region-Based Approaches for Cellular Segmentation of Bright-Field Microscopy Images." Scholar Commons, 2017. http://scholarcommons.usf.edu/etd/6794.

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Microscopy image processing is an emerging and quickly growing field in medical imaging research area. Recent advancements in technology including higher computation power, larger and cheaper storage modules, and more efficient and faster data acquisition devices such as whole-slide imaging scanners contributed to the recent microscopy image processing research advancement. Most of the methods in this research area either focus on automatically process images and make it easier for pathologists to direct their focus on the important regions in the image, or they aim to

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Zeng, Yongqin. "Image segmentation algorithms incorporating perceptual quality factors for region-based image compression." Thesis, Imperial College London, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313514.

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Hettiarachchi, Randima. "Multi-Manifold learning and Voronoi region-based segmentation with an application in hand gesture recognition." Elsevier, 2015. http://hdl.handle.net/1993/31969.

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A computer vision system consists of many stages, depending on its application. Feature extraction and segmentation are two key stages of a typical computer vision system and hence developments in feature extraction and segmentation are significant in improving the overall performance of a computer vision system. There are many inherent problems associated with feature extraction and segmentation processes of a computer vision system. In this thesis, I propose novel solutions to some of these problems in feature extraction and segmentation. First, I explore manifold learning, which is a no

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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.

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Vilaplana, Besler Verónica. "Region-based face detection, segmentation and tracking. framework definition and application to other objects." Doctoral thesis, Universitat Politècnica de Catalunya, 2010. http://hdl.handle.net/10803/33330.

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One of the central problems in computer vision is the automatic recognition of object classes. In particular, the detection of the class of human faces is a problem that generates special interest due to the large number of applications that require face detection as a first step. In this thesis we approach the problem of face detection as a joint detection and segmentation problem, in order to precisely localize faces with pixel accurate masks. Even though this is our primary goal, in finding a solution we have tried to create a general framework as independent as possible of the type of

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Grunler, Christian Dieter. "Segmentation-based and region-adaptive lossless image compression underpinned by a stellar-field image model." Thesis, Staffordshire University, 2010. http://eprints.staffs.ac.uk/1877/.

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The central question addressed in this research is whether lossless compression of stellar-field images can be enhanced in terms of compression ratio, by using image segmentation and region-adaptive bit-allocation which are based on a suitable image model. Therefore, special properties of stellarfield images, which compression algorithms could exploit, are studied. The research proposes and develops novel lossless compression algorithms for the compaction of stellar-field images. The proposed algorithms are based on image segmentation coupled to a domain-specific image data model and to a regi

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Garrido, Ostermann Luís. "Hierarchical region based processing of images and video sequences: application to filtering, segmentation and information retrieval." Doctoral thesis, Universitat Politècnica de Catalunya, 2002. http://hdl.handle.net/10803/6878.

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Este trabajo estudia la utilidad de representaciones jerárquicas basadas en regiones para el procesado de imagen y de secuencias de vídeo. Las representaciones basadas en regiones ofrecen una forma de realizar un primer nivel de abstracción y reducir el número de elementos a procesar con respecto a la representación clásica basada en el pixel. En este trabajo se revisan las dos representaciones que han demostrado ser de utilidad para el procesado basado en regiones, a saber el grafo de regiones adyacentes y el árbol, y se discute por qué las representaciones basadas en árboles son más adecuada

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Samala, Ravi K. "Efficient suspicious region segmentation algorithm for computer aided diagnosis of breast cancer based on tomosynthesis imaging." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001800.

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Stone, David L. "The Application of Index Based, Region Segmentation, and Deep Learning Approaches to Sensor Fusion for Vegetation Detection." VCU Scholars Compass, 2019. https://scholarscompass.vcu.edu/etd/5708.

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This thesis investigates the application of index based, region segmentation, and deep learning methods to the sensor fusion of omnidirectional (O-D) Infrared (IR) sensors, Kinnect sensors, and O-D vision sensors to increase the level of intelligent perception for unmanned robotic platforms. The goals of this work is first to provide a more robust calibration approach and improve the calibration of low resolution and noisy IR O-D cameras. Then our goal was to explore the best approach to sensor fusion for vegetation detection. We looked at index based, region segmentation, and deep learning me

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Jacob, Alexander. "Radar and Optical Data Fusion for Object Based Urban Land Cover Mapping." Thesis, KTH, Geoinformatik och Geodesi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-45978.

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The creation and classification of segments for object based urban land cover mapping is the key goal of this master thesis. An algorithm based on region growing and merging was developed, implemented and tested. The synergy effects of a fused data set of SAR and optical imagery were evaluated based on the classification results. The testing was mainly performed with data of the city of Beijing China. The dataset consists of SAR and optical data and the classified land cover/use maps were evaluated using standard methods for accuracy assessment like confusion matrices, kappa values and overall

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Grahn, Fredrik, and Kristian Nilsson. "Object Detection in Domain Specific Stereo-Analysed Satellite Images." Thesis, Linköpings universitet, Datorseende, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-159917.

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Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. One of these classification methods used domain knowledge to classify objects while the other used Support Vector Machines. Additionally, a combination of three Support Vector Machines were used in a hierarchical structure which out-performed the regular Support Vector Machine method in most of the evaluation metrics. The second approach is more

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TANIMOTO, Masayuki, Toshiaki FUJII, Bunpei TOUJI, Tadahiko KIMOTO, and Takashi IMORI. "A Segmentation-Based Multiple-Baseline Stereo (SMBS) Scheme for Acquisition of Depth in 3-D Scenes." Institute of Electronics, Information and Communication Engineers, 1998. http://hdl.handle.net/2237/14997.

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Ramamoorthy, Dhyanesh. "Muscle Fatigue Detection using Infrared Thermography: Image Segmentation to Extract the Region of Interest from Thermograms." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1543923019568392.

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Kopečný, Josef. "Návrh nové metody pro stereovidění." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2008. http://www.nusl.cz/ntk/nusl-235903.

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This thesis covers with the problems of photogrammetry. It describes the instruments, theoretical background and procedures of acquiring, preprocessing, segmentation of input images and of the depth map calculating. The main content of this thesis is the description of the new method of stereovision. Its algorithm, implementation and evaluation of experiments. The covered method belongs to correlation based methods. The main emphasis lies in the segmentation, which supports the depth map calculation.

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"A pixel-region-graph-based segmentation method." 2002. http://library.cuhk.edu.hk/record=b5891297.

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Lau Hang-yee.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2002.<br>Includes bibliographical references (leaves 121-123).<br>Abstracts in English and Chinese.<br>Abstract in English --- p.i<br>Abstract in Chinese --- p.iii<br>List of Figures --- p.ix<br>List of Tables --- p.xiii<br>Chapter Chapter 1: --- Introduction --- p.1<br>Chapter 1.1 --- Objective --- p.1<br>Chapter 1.2 --- Definition ofixel-based Algorithm --- p.2<br>Chapter 1.3 --- Definition of Region-based Algorithm --- p.3<br>Chapter 1.4 --- Definition of Graph-based Algorithm --- p.5<br>Chapter 1.5 --- Colour Spac

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WANG, PIN-WEN, and 王品文. "Superpixel-based Image Segmentation and Region Merging." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/tkqdsb.

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碩士<br>國立中正大學<br>資訊管理系研究所<br>105<br>In the field of computer vision and image processing, image segmentation occupies a very important position. Image segmentation technology is constantly being put forward, however, the current image cutting still has many difficulties, and now some methods can be applied to the color image segmentation, most of the thinking only the image from one-dimensional space expansion to three-dimensional color space, and did not discuss other relevant information provided in color data. Therefore, the color space for image segmentation is also a very worthy of one of

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Monteiro, Fernando Jorge Coutinho. "Region-based spatial and temporal image segmentation." Doctoral thesis, 2007. http://hdl.handle.net/10216/11088.

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Monteiro, Fernando Jorge Coutinho. "Region-based spatial and temporal image segmentation." Tese, 2007. http://hdl.handle.net/10216/11088.

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Liao, Chen-Hao, and 廖振皓. "Region-based Image Retrieval Using Edgeflow Segmentation and Region Adjacency Graph." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/81149025096332342743.

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碩士<br>國立中正大學<br>資訊工程研究所<br>90<br>Traditional region-based image retrieval systems often use only the dominant features within each region and ignore the useful relationship of neighboring regions. In this paper, we propose a new color/texture region-based image retrieval system using the region relationship. An image is first processed with the edgeflow technique to divide the image into several regions and to extract the important texture information. Then, the region adjacency graph (RAG) is used to be the representation of the regions and their spatial relationships in the segmented image.

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Leu, Yih-Sheng, and 呂易昇. "Wavelet Edge Detection on Region-based Image Segmentation." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/05235221284816209822.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程系<br>88<br>In image processing, there are two major approaches in segmentations, namely the gradient-based edge detection and the region-based segmentation. These two approaches each have their own shortcomings. The gradient-based method is known to have broken and false edges, and the region-based method is known to have poor localization when noise is present. To overcome the shortcomings many attempts were made to combine the two approaches. The most recent breakthrough is known as the maximum entropy method which combines the two segmentation methods v

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Shyu, Bin-kai, and 許秉凱. "Region-Based Fractal Image Compression with Quadtree Segmentation." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/51388311368541667552.

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碩士<br>國立清華大學<br>資訊科學研究所<br>84<br>Fractal image coding is a novel technique for image compression and has been successfully developed to automatically convert a still image into a set of affine transformation coefficients. To save the bit rate for storing affine transformation information, a scheme of flexible segmentation of range blocks is essential. In the past years, several low bit rate schemes of fractal image coding were proposed in which they all employ the quadtree segmentation technique. In this thesis, a low bit rate region-based fractal image compression algorithm s proposed, severa

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Yang, Ming-Han, and 楊明翰. "Aorta segmentation based on region growing and ray propagation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/21258849026276234683.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>102<br>In this paper we propose a method based on region growing and ray propagation to segment aortic lumen or aortic aneurysm from computed tomography (CT) angiograph images. First, we use an improved region growing method to estimate the roughly range and the centroid of vessel lumen. Then we use a ray propagation method based on gradient and luminance to find the contour of vessel. Finally, we use the information of the first step to refine this contour and obtain the final result. The proposed method does not need to tune any parameter and show a satisfactory re

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Lu, Yi Heng, and 盧宜恒. "Image Segmentation Using Fast Wavelet-Based Color Segmentation, Directional Region Growing, and Contour Tracking." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/36377505501333574394.

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碩士<br>義守大學<br>資訊工程學系<br>92<br>In this thesis, we propose a fast wavelet-based color segmentation (FWCS) technique and a directional region-growing (DRG) technique towards the semantic image segmentation. The FWCS technique is a subsequent combination of progressive color analysis-by-truncation and histogram-based color extraction processes to segment color regions or fragments out. By exploring the centroids of segmented fragments as the growing seeds, FDRG runs the directional region growing on pairs of adjacent color regions according to the direction of connecting paths between those region

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Liao, Keng-Hong, and 廖耿宏. "A Region-Growing-Based Image Segmentation Technique Using Texture Feature." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/66177791497044935142.

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碩士<br>國立交通大學<br>資訊科學學系<br>83<br>In this thesis, we propose an image segmentation method to process separatly the smooth regions and texture regions of an image. At the beginning, we preprocess the image with the Sobel operator and a thinning algorithms to obtain an edge image which can provide the boundary needed in region-growing. We then use the block partition method (BPM) to partition an image into non-overlapping blocks, and then classify the blocks into smooth or non-smooth blocks. Fi

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Jheng, Rong-Yu, and 鄭榮裕. "Video Object Segmentation Based on Motion Information and Region Filling." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/82839978784168001241.

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碩士<br>國立東華大學<br>資訊工程學系<br>93<br>In recent years, among various emerging multimedia technologies the MPEG-4, an object-based multimedia standard, continuously attracts the public attention from both academic and commercial realms. For multimedia video, encoding the contents in units of video objects generally gains better performance than the conventional block-based encoding does. In this thesis, we propose a novel method to accomplish the task of video object segmentation. The key concept is to analyze the object motion from multiple consecutive frames along the time line and build masks for

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Chang, Yu-Lien, and 張育連. "Computer Aided Color Texture Segmentation Based on Seeded Region Growing." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/23804482616556969515.

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Zhou, Yun-Wei, and 周運緯. "Skyline Detection Based on Region Segmentation and Boundary Feature Classification." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/an7749.

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碩士<br>國立中央大學<br>資訊工程學系<br>105<br>The skyline information in an outdoor image scene can provide a lot information such as the horizon and background information for automatic robots. Most existing works find skylines in suburban scenes because the urban scenes are more diverse than suburban scenes. In our paper, we try to find skylines in not only suburban scenes but also urban scenes. We propose a new method to find skylines using region segmentation and boundary feature classification. In the proposed method, we first apply region segmentation methods to obtain region boundaries. Then we use

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Hsu, Chih-Yu, and 許芷瑜. "Incorporating Texture Information into Region-based Unsupervised Image Segmentation Using Superpixels." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/55475958151383671949.

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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>101<br>Recently, an unsupervised image segmentation framework, Segmentation by Aggregating Superpixels (SAS) [2] is proposed and shown to be very promising. However, the texture cues, which have been shown to be very effective in many researches [14-18], are absent in [2]. In this thesis, we propose an effective method for incorporating texture information into the SAS framework, using superpixels. To extract texture information, our algorithm first uses texture filtering and subsequent Gaussian Mixture Models (GMM) clustering which is modified from [16]. Then, we

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Cho, Shun-Wen, and 卓舜文. "Content Based Image Retrieval System by Hierarchical Color Image Region Segmentation." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/03158447855834360270.

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碩士<br>國立臺灣大學<br>資訊工程學系研究所<br>86<br>Digital image databases are becoming more and more popular. Finding images in large databases becomes a problem. In the past, due to the nature of image, we usually just can associate some data, such as the title, or keywords, with an image, and query images by these metadata. This is not a perfect way. Because the quality of these metadata heavily depend on the creator, querying by content of the image is a better approach and an important topic of research.

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Huang, Yu-Jyun, and 黃郁鈞. "A surface segmentation approach of articulated objects based on region growing." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/60987021768648493225.

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碩士<br>國立雲林科技大學<br>資訊工程系<br>103<br>This thesis proposes a movable joint detection approach for articulated ground targets’ surfaces based on region growing. The surfaces of the ground targets with connecting components are captured by the laser scanner as 3D point clouds. Bearing angle image is adopted for converting 3D point cloud to 2D image in the proposed method because the relationship between adjacent points can be kept into the 2D image as features which are useful for image alignment. The proposed method can be divided into the following five steps: First, 3D point cloud is converted in

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Lin, Wan-Ting, and 林琬婷. "Breast Tumor Segmentation on Ultrasonography Based on 3D Region Growing Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89861886175712856976.

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碩士<br>東海大學<br>資訊工程學系<br>103<br>Breast cancer is the most common cancer in the woman. There is an upward trend in the number of such cases in the past years. Early diagnosis and early treatment is the most effective way of reducing mortality caused by breast cancer. Ultrasound is the common examination technology because of fast, cheap and noninvasive. The difficult part is that there are many noises and speckles on the ultrasonic images. Malignant and benign breast tumors are present different shape and size, thus this study propose a robust segmentation method to assist the physician on conto

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Lin, Ching-Kai, and 林敬凱. "Region-Based Ultrasound Image Segmentation and Motion Estimation for Liver Tracking." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/08573692147216175596.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>100<br>Medical imaging is an effective modality that enables clinicians to study the shape, size, and dynamics of the target. In this thesis, an image-guided system for liver motion tracking is presented. Traditional medical image-guided systems include CT, MRI, X-ray and ultrasound image (US). While considering frame rate and invasiveness, the ultrasound image-guided system is proposed for tracking the liver motion. The main objective is to use ultrasound image for continuously tracking liver motion. Ultrasound images have lower resolution and ill-defined edges in

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Wang, Yu-Hung, and 王楀鴻. "A Region-Based Segmentation Method of Color Images in Different Color Space." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/uae9py.

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Hsu, Chia-Chun, and 許家群. "Edge-based Region Growing and Interactive Editing Tool for Medical Image Segmentation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/37946828755156791548.

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碩士<br>國立臺灣大學<br>醫學工程學研究所<br>94<br>Object. Two aims will be achieved in the present study: 1) to develop an edge-based region growing algorithm for medical image segmentation, which has advantage of instinctive parameters adjusting; 2) to construct a framework integrated with the newly developed segmentation algorithm and an interactive image editing tool for practical application. Background. Medical image segmentation is an important image procedure for computer aided surgery and computer aided diagnosis. It is always a difficult issue to develop an algorithm for segmentation because medical

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Chen, Yu-Chuan, and 陳宥全. "Foreground Segmentation Using a Gaussian Mixture Shadow Model and Region-Based Updating." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/79934051006550772601.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程研究所<br>102<br>This paper proposes an algorithm that derives the Gaussian mixture shadow model (GMSM) from the background model for shadow removal. In this study, the images are firstly transformed to YUV color space and a Gaussian mixture model (GMM) is used to describe the color distribution of a single pixel. To effectively and efficiently model the shadow, we obtain the shadow GMM directly from the learned background GMM. However, there are too few shadow samples for updating so that it makes the GMSM converge slowly. To handle with this, the neighbor ratio of th

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Tsai, Sung-Hsien, and 蔡松賢. "A Study on Image Retargeting based on Content Saliency and Region Segmentation." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/58424070395301145596.

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碩士<br>亞洲大學<br>資訊工程學系<br>104<br>This paper presents an automatic visual salience preserving content-aware image resizing method for image representation. The method computes a saliency map which describes the attractive regions in an image by the saliency-based visual attention model and a segmented image which consists of uniform color regions performed by the mean shift algorithm. Then a thresholding technique is applied to detect important target regions on the saliency map. These regions combined with the segmentation results construct the important joint regions. The method uses cropping a

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Liu, Geng-Hua, and 劉耿華. "Real-time Humanoid Visual System based on Region Segmentation for obstacle determination." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/87404192429983951785.

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碩士<br>國立臺灣大學<br>機械工程學研究所<br>99<br>This thesis proposes one real-time visual system completely, and the suitable control methods are developed for the especial humanoid eye mechanism by our self. This eye mechanism has five degree of freedoms to control the horizontal and vertical rotations of two eyeballs and opening of two eyelids. PMMA is chosen as the material for convenience of CNC machining and its lightness. Those used motors and control boards are also mini and light. The analyzed images are inputted from mini webcams, and then the visual program use region-based corresponding result

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Kuan, Yu-hsin, and 官有星. "Effective Image Retrieval Techniques Based on Novel Salient Region Segmentation and Relevance Feedback." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/99551509419538353611.

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博士<br>義守大學<br>資訊工程學系博士班<br>98<br>The expeditious advance of computer industry and the proliferation of Internet-based services make hundreds of millions of digital images available on the Internet for the public to access. With the increasing amount of images, the tools of image search and management are in great demand. For this reason, many image retrieval systems have been developed, which can be roughly classified into two types: text-based and content-based. In text-based approaches, images are manually annotated with texts, which are then used for image retrieval by an image database-man

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Silva, Ana Filipa Ramos. "Market segmentation and travelling patterns based on Tourist's paths in the Porto Region." Master's thesis, 2017. https://hdl.handle.net/10216/108048.

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Chen, Hung-Pin, and 陳弘彬. "Image Segmentation by Integrating Wavelet-Based Multi-Thresholding and Fast Directional Region Growing." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/02349614581409260938.

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碩士<br>義守大學<br>資訊工程學系<br>91<br>For the content-based image retrieval, we propose an object detection algorithm including a wavelet-based multi-thresholding (WBMT) algorithm and a fast directional region growing (FDRG) algorithm, where the latter is to link the color regions yielded by the former. The WBMT algorithm contains a removing process of redundant colors via the Haar wavelet decomposition and a histogram-based color aggregation (HBCA) process to segment colorific regions. The representative centroids of segmented regions can be directly obtained from the WBMT algorithm to act as the in

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Silva, Ana Filipa Ramos. "Market segmentation and travelling patterns based on Tourist's paths in the Porto Region." Dissertação, 2017. https://hdl.handle.net/10216/108048.

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