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Relevant bibliographies by topics / Kidney Segmentation –Active Contour / Dissertations / Theses

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Dissertations / Theses on the topic 'Kidney Segmentation –Active Contour'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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1

Judkovich, Michael. "An Active Contour Approach for 3D Thigh Muscle Segmentation." Case Western Reserve University School of Graduate Studies / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1618866341802777.

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Zhang, Jie. "A local likelihood active contour model of medical image segmentation." Ohio : Ohio University, 2007. http://www.ohiolink.edu/etd/view.cgi?ohiou1187087285.

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3

Zhang, Jie. "A Local Likelihood Active Contour Model for Medical Image Segmentation." Ohio University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1187087285.

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4

Tsang, Po-Yan. "Multi-resolution Image Segmentation using Geometric Active Contours." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/907.

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Image segmentation is an important step in image processing, with many applications such as pattern recognition, object detection, and medical image analysis. It is a technique that separates objects of interests from the background in an image. Geometric active contour is a recent image segmentation method that overcomes previous problems with snakes. It is an attractive method for medical image segmentation as it is able to capture the object of interest in one continuous curve. The theory and implementation details of geometric active contours are discussed in this work. T

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Law, Wai Kong. "Segmentation of vessels using weighted local variances and an active contour model /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20LAW.

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Thieu, Quang Tung. "Segmentation by convex active contour models : application to skin lesion and medical images." Paris 13, 2013. http://www.theses.fr/2013PA132063.

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7

Wang, Yang. "Segmentation Guided Registration for Medical Images." Ohio University / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1126905907.

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8

Ananta, Soujanya Siddavaram. "Contour Extraction of Drosophila Embryos Using Active Contours in Scale Space." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1222.

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Contour extraction of Drosophila embryos is an important step to build a computational system for pattern matching of embryonic images which aids in the discovery of genes. Automatic contour extraction of embryos is challenging due to several image variations such as size, shape, orientation and neigh- boring embryos such as touching and non-touching embryos. In this thesis, we introduce a framework for contour extraction based on the connected components in the gaussian scale space of an embryonic image. The active contour model is applied on the images to refine embryo contours. Data cleanin

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9

Smestad, Ole Marius. "On the feasability of automatic segmentation with active contour models in image databases for shape extraction." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2005. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9223.

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<p>In this thesis the image segmentation system EDISON, was tested against an automatic version snake, which is an algorithm active contour models. The algorithms were tested against each to see if an automatic snake algorithm could be feasible for use in an image database for shape extraction. The conducted tests showed that EDISON yielded the best results, and that snake should be given further work before being considered.</p>

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Kienel, Enrico, and Guido Brunnett. "GPU-Accelerated Contour Extraction on Large Images Using Snakes." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200900358.

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Active contours have been proven to be a powerful semiautomatic image segmentation approach, that seems to cope with many applications and different image modalities. However, they exhibit inherent drawbacks, including the sensibility to contour initialization due to the limited capture range of image edges and problems with concave boundary regions. The Gradient Vector Flow replaces the traditional image force and provides an enlarged capture range as well as enhanced concavity extraction capabilities, but it involves an expensive computational effort and considerably increased memory require

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11

Appia, Vikram VijayanBabu. "Non-local active contours." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44739.

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This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and robotic vision. More specifically, this thesis deals with a special class of image segmentation technique called Snakes or Active Contour Models. In active contour models, image segmentation is posed as an energy minimization problem, where an objective energy function (based on certain image related features) is defined on the segmenting curve (contour). Typically, a gradient descent energy minimization approach

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Oz, Sinan. "Implement Of Three Segmentation Algorithms For Ct Images Of Torso." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612866/index.pdf.

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Many practical applications in the field of medical image processing require valid and reliable segmentation of images. In this dissertation, we propose three different semi-automatic segmentation frameworks for 2D-upper torso medical images to construct 3D geometric model of the torso structures. In the first framework, an extended version of the Otsu&rsquo<br>s method for three level thresholding and a recursive connected component algorithm are combined. The segmentation process is accomplished by first using Extended Otsu&rsquo<br>s method and then labeling in each consecutive slice. Since

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Liu, Siwei. "Apport d'un algorithme de segmentation ultra-rapide et non supervisé pour la conception de techniques de segmentation d'images bruitées." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM4371.

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La segmentation d'image constitue une étape importante dans le traitement d'image et de nombreuses questions restent ouvertes. Il a été montré récemment, dans le cas d'une segmentation à deux régions homogènes, que l'utilisation de contours actifs polygonaux fondés sur la minimisation d'un critère issu de la théorie de l'information permet d'aboutir à un algorithme ultra-rapide qui ne nécessite ni paramètre à régler dans le critère d'optimisation, ni connaissance a priori sur les fluctuations des niveaux de gris. Cette technique de segmentation rapide et non supervisée devient alors un outil é

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Yang, Lixuan. "Structuring of image databases for the suggestion of products for online advertising." Thesis, Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1102/document.

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Le sujet de la thèse est l'extraction et la segmentation des vêtements à partir d'images en utilisant des techniques de la vision par ordinateur, de l'apprentissage par ordinateur et de la description d'image, pour la recommandation de manière non intrusive aux utilisateurs des produits similaires provenant d'une base de données de vente. Nous proposons tout d'abord un extracteur d'objets dédié à la segmentation de la robe en combinant les informations locales avec un apprentissage préalable. Un détecteur de personne localises des sites dans l'image qui est probable de contenir l'objet. Ensuit

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Julian, Pauline. "Méthodes variationnelles pour la segmentation avec application à la réalité augmentée." Phd thesis, Toulouse, INPT, 2012. http://oatao.univ-toulouse.fr/17822/7/Julian_P.pdf.

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Dans cette thèse, nous nous intéressons au problème de la segmentation de portraits numériques. Nous appelons portrait numérique la photographie d’une personne avec un cadre allant grossièrement du gros plan au plan poitrine. Le problème abordé dans ce travail est un cas spécifique de la segmentation d’images où il s’agit notamment de définir précisément la frontière de la région « cheveux ». Ce problème est par essence très délicat car les attributs de la région « cheveux » (géométrie, couleur, texture) présentent une grande variabilité à la fois entre les personnes et au sein de la région. N

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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.

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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,

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ORGIU, SARA. "DEVELOPMENT AND APPLICATION OF SEGMENTATION AND ANALYSIS METHODS FOR THE MORPHOLOGICAL AND FUNCTIONAL CHARACTERIZATION OF THE LOWER LIMB FROM MRI IMAGES." Doctoral thesis, Università degli Studi di Milano, 2018. http://hdl.handle.net/2434/549137.

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This work is aimed to the development and application of a segmentation and analysis methods for the morphological and functional characterization of the lower limb from MRI images. Regarding the morphological characterization, an automatic algorithm was developed for the segmentation of Skeletal Muscle (SM), Intermuscular Adipose Tissue (IMAT), and Subcutaneus Adipose Tissue (SAT) compartments from cross-sectional T1-W MRI images, in order to assess thigh regional tissue composition in both young and elderly subjects with different degrees of body adiposity, including obese individuals. A fu

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Albalooshi, Fatema A. "Self-organizing Approach to Learn a Level-set Function for Object Segmentation in Complex Background Environments." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429545327.

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19

Yang, Lixuan. "Structuring of image databases for the suggestion of products for online advertising." Electronic Thesis or Diss., Paris, CNAM, 2017. http://www.theses.fr/2017CNAM1102.

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Le sujet de la thèse est l'extraction et la segmentation des vêtements à partir d'images en utilisant des techniques de la vision par ordinateur, de l'apprentissage par ordinateur et de la description d'image, pour la recommandation de manière non intrusive aux utilisateurs des produits similaires provenant d'une base de données de vente. Nous proposons tout d'abord un extracteur d'objets dédié à la segmentation de la robe en combinant les informations locales avec un apprentissage préalable. Un détecteur de personne localises des sites dans l'image qui est probable de contenir l'objet. Ensuit

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20

Filho, Pedro Pedrosa RebouÃas. "MÃtodos de contornos ativos Crisp Adaptativo 2D e 3D aplicados na segmentaÃÃo dos pulmÃes em imagens de tomografia computadorizada do tÃrax." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=9933.

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CoordenaÃÃo de AperfeiÃoamento de Pessoal de NÃvel Superior<br>Sistemas computacionais vÃm desempenhando papel importante em vÃrias Ãreas da medicina, notadamente no auxÃlio ao diagnÃstico mÃdico por imagem. Neste sentido, estudos na Ãrea de VisÃo Computacional sÃo realizados para desenvolver tÃcnicas e sistemas capazes de detectar automaticamente diversas doenÃas. Dentre os exames existentes que permitem o auxÃlio ao diagnÃstico e a aplicaÃÃo de sistemas computacionais em conjunto, destaca-se a Tomografia Computadorizada (TC) que possibilita a visualizaÃÃo de ÃrgÃos internos, como por exemplo

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Jaegler, Arnaud. "Segmentation d'image échographique par minimisation de la complexité stochastique en vue du diagnostic sénologique." Thesis, Aix-Marseille 3, 2011. http://www.theses.fr/2011AIX30002.

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L'objectif de cette thèse est de proposer et d'étudier une méthode de segmentation qui soit adaptée à l'imagerie échographique ultrasonore (US) et qui tienne compte de certaines contraintes rencontrées en milieu clinique. De ce fait, cette méthode se doit d'être robuste au bruit de speckle et à l'atténuation des ondes US dans le milieu, mais aussi rapide et ne nécessiter que peu, voire aucun paramètre à régler par l'opérateur. Dans ce cadre, les solutions fondées sur des contours actifs fondés sur la Minimisation de la Complexité Stochastique ont été étudiées. L'impact de différentes modélisat

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Hesko, Branislav. "Aktivní kontury pro segmentaci ultrazvukových dat." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221388.

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This diploma thesis aims to implement an active contour method for ultrasound image segmentation. Properties of ultrasound images, basic segmentation approaches and a~principle of choosen active contour methods are described within theoretical part. Two different groups of active contour methods exists, methods with use of gradient and without use of gradient as image feature. For comparision, one method of each group is implemented in practical part and subsequently, segmentation efficiency and properties of methods are compared in evaluation part.

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COMELLI, Albert. "IMAGE PROCESSING, SEGMENTATION AND MACHINE LEARNING MODELS TO CLASSIFY AND DELINEATE TUMOR VOLUMES TO SUPPORT MEDICAL DECISION." Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/395504.

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Techniques for processing and analysing images and medical data have become the main’s translational applications and researches in clinical and pre-clinical environments. The advantages of these techniques are the improvement of diagnosis accuracy and the assessment of treatment response by means of quantitative biomarkers in an efficient way. In the era of the personalized medicine, an early and efficacy prediction of therapy response in patients is still a critical issue. In radiation therapy planning, Magnetic Resonance Imaging (MRI) provides high quality detailed images and excelle

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Hallenberg, Johan. "Robot Tool Center Point Calibration using Computer Vision." Thesis, Linköping University, Department of Electrical Engineering, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-9520.

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<p>Today, tool center point calibration is mostly done by a manual procedure. The method is very time consuming and the result may vary due to how skilled the operators are.</p><p>This thesis proposes a new automated iterative method for tool center point calibration of industrial robots, by making use of computer vision and image processing techniques. The new method has several advantages over the manual calibration method. Experimental verifications have shown that the proposed method is much faster, still delivering a comparable or even better accuracy. The setup of the proposed method is

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AbuAzzah, Ezzat. "A 4D ultrasound imaging automation platform for modelling and assessment of ultrasound target dynamics using direct visual servoing and machine learning." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/134613/1/Ezzat_AbuAzzah_Thesis.pdf.

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Purpose: The main objective of this research project is to address the limitations of image-processing computational performance of current ultrasound target motion estimation techniques by developing a novel high-performance ultrasound motion estimation technique that eliminates the need for using currently adopted image-registration-based motion-estimation techniques for systems requiring ultrasound target tracking. To address the system's dependence on the operator's experience and supervision as the second objective of this research project, the developed target tracking technique is integ

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Yang, Huiqi. "Development of computer-based algorithms for unsupervised assessment of radiotherapy contouring." Thesis, University of Cambridge, 2019. https://www.repository.cam.ac.uk/handle/1810/284463.

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INTRODUCTION: Despite the advances in radiotherapy treatment delivery, target volume delineation remains one of the greatest sources of error in the radiotherapy delivery process, which can lead to poor tumour control probability and impact clinical outcome. Contouring assessments are performed to ensure high quality of target volume definition in clinical trials but this can be subjective and labour-intensive. This project addresses the hypothesis that computational segmentation techniques, with a given prior, can be used to develop an image-based tumour delineation process for contour assess

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Wang, Chen. "Large-scale 3D environmental modelling and visualisation for flood hazard warning." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/3350.

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3D environment reconstruction has received great interest in recent years in areas such as city planning, virtual tourism and flood hazard warning. With the rapid development of computer technologies, it has become possible and necessary to develop new methodologies and techniques for real time simulation for virtual environments applications. This thesis proposes a novel dynamic simulation scheme for flood hazard warning. The work consists of three main parts: digital terrain modelling; 3D environmental reconstruction and system development; flood simulation models. The digital terrain model

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Malínský, Miloš. "Segmentace významných objektů v barevných oftalmologických obrazech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217229.

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Optic nerve head and macula are important structures in fundus images. Detection and measurement plays crucial role in several diagnosis methods of optic disease. This work is focused on the detection of the central point of macula and optic nerve head, where the inner border is detected too. There are many methods for extracting this structure in retinal images. Due to the unique properties of each acquisition technique, a single generally acknowledged detection algorithm does not exist. The whole detection process is described from preprocessing through segmentation towards postprocessing. P

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Spíchalová, Barbora. "Pokročilé metody detekce kontury srdečních buněk." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221375.

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This thesis focuses on advanced methods of detecting contours of the cardiac cells and measuring their contraction. The theoretical section describes the types of confocal microscopes, which are used for capturing biological samples. The following chapter is devoted to the methods of cardiac cells segmentation, where we are introduced to the generally applied approaches. The most widely spread methods of segmentation are active contours and mathematical morphology, which are the crucial topics of this thesis. Thanks to the those methods we are able in the visual data to accurately detect requi

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Kasimoglu, Ismail Hakki. "Estimation of a Coronary Vessel Wall Deformation with High-Frequency Ultrasound Elastography." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/19762.

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Elastography, which is based on applying pressure and estimating the resulting deformation, involves the forward problem to obtain the strain distributions and inverse problem to construct the elastic distributions consistent with the obtained strains on observation points. This thesis focuses on the former problem whose solution is used as an input to the latter problem. The aim is to provide the inverse problem community with accurate strain estimates of a coronary artery vessel wall. In doing so, a new ultrasonic image-based elastography approach is developed. Because the accuracy and quali

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Ferreira, Pedro Miguel Raminhos. "Microscopy image segmentation by active contour models." Master's thesis, 2014. http://hdl.handle.net/10362/13202.

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In this thesis a semi-automated cell analysis system is described through image processing. To achieve this, an image processing algorithm was studied in order to segment cells in a semi-automatic way. The main goal of this analysis is to increase the performance of cell image segmentation process, without affecting the results in a significant way. Even though, a totally manual system has the ability of producing the best results, it has the disadvantage of taking too long and being repetitive, when a large number of images need to be processed. An active contour algorithm was tested in a s

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彭文立. "Hand radiograph image segmentation using watershed transformation and active contour model." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/09181436814906237686.

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吳佩珊. "Self-Rectification Active Contour for Complex-Boundary Segmentation in Noisy Image." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/86378778985502337783.

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碩士<br>國立嘉義大學<br>資訊工程學系研究所<br>99<br>Active contour model provides a powerful tool to deal with computer vision tasks such as image segmentation, video-object shape extraction, and medical image. But it heavily depends on image’s local information no matter how inappropriate the information is. Besides, in general, snake models are very sensitive to position initialization. In order to improve the Active contour model to fit the image object better. In this study, we propose a contour-fitness improved adaptive snake, namely, edge-conducted rectification adaptive snake (ECRA-snake) for segmenting

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Lin, Feng-Chih, and 林豐池. "3D Liver Contour Reconstruction from Dual Ultrasound Slices Using Active Contour Model Segmentation and Image-Guided Tracking." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/92904932712509158838.

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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>An image-guided system for a liver tracking is presented in this thesis. Traditional medical image-guided systems include computed tomography (CT), magnetic resonance imaging (MRI) 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 and for tumor treatment. Traditional template matching cannot describe the non-rigid body motion, and consume a large amount of computational time.

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Tsai, Tien-Hsiu, and 蔡典修. "Image Segmentation Methods Using Evaluation-Based Active Contour Model and Knowledge Source." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/22170183403520941159.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>96<br>Medical image segmentation is a necessary task before reconstructing a 3D organ model, but not an easy task. This thesis describes how the Contour Evaluation System, the Evaluation-Base Active Contour Model, and the Knowledge Source are used to segment medical image correctly and efficiently. The Contour Evaluation System calculates the similarity between the reference contour and the evaluated contour to determine the accuracy of the evaluated contour, because the image features between neighbor images are expectedly similar. This mechanism can help th

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Chen, Yi, and 陳. 毅. "Kernel Fuzzy Energy Active Contour Using Lattice Boltzmann Method In Image Segmentation." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/dvf376.

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碩士<br>國立清華大學<br>生醫工程與環境科學系<br>105<br>Fast and accurate image segmentation is still a challenging task in computer vision because real-world images are often distorted by noise and intensity inhomogeneity. In order to overcome these problems, fuzzy clustering is extensively applied to image segmentation because of the strong ability to reject local minimum. It also incorporates with kernel metrics to enhance robustness against noise and outliers and construct a nonlinear energy function based on a variational level set framework. However, level set implementation often costs a lot of CPU times,

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Liu, Jing-Weng, and 劉景文. "The Design and Implementation of an Active Contour Model System for Image Segmentation." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/94789975649572559411.

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碩士<br>國立成功大學<br>電機工程學系<br>86<br>The contour plays an important role in image segmentation. A convenient way toobtain accurate contours is one of the key features of a good image processing system.The Active Contour Model was proposed to segment an object correctly in an easy way.In this model, an initial contour is given first and then deforms according to a set of defined forces to obtain the final result. Besides, the pattern concept that originatesform architecture engineering is introdu

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Li, Jian-Sin, and 李建新. "Study on Segmentation of Breast Tumors in Ultrasound Images Using Active Contour Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/69108440680549658636.

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碩士<br>元智大學<br>資訊管理學系<br>97<br>In this study, we propose a new active contour model based segmentation method for breast tumor in ultrasound images. An initial contour is marked automatically and the corresponding parameters are used to enhance the convergence effect of overall contour. To improve the poor convergence in concave boundaries of traditional active contour model, the gradient vector flow is considered as the guidance of edged energy. The additional information makes the contour converge to the correct boundary closely. Moreover, local binary pattern (LBP) is used as texture feature

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Wen-Yu, Chao, and 趙文煜. "Application of mathematical morphology and active contour model in the segmentation of echocardiograms." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/84078914317600373893.

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碩士<br>國立臺灣科技大學<br>電機工程技術研究所<br>85<br>A noninvasive echocardiography has been widely used in diagnose of illness,especially in the heart. To obtain quantitative measures ofejection-fraction ratio,wall motion and ventricular volume ratio,thecontour of left ventricular must be first extracted.If done manually, this can be tedious and time-consuming. To develop a better method automatically detect the corrective boundary location is the aim of this paper. In this paper, active contour model, or snake, is the main method used to detect the contour. During the contour deformation, the minimized ene

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wu, wen lin, and 吳文鈴. "Segmentation of Breast Tumor in 3D Ultrasound Images Using Discrete Active Contour Model." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/38169500546640047065.

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碩士<br>國立中正大學<br>資訊工程研究所<br>89<br>In this paper, we make use of the discrete active contour model to overcome the natural properties of ultrasound images, speckles, noise, and tissue-related textures, to segment the breast tumors precisely. Before the snake deformation process, a good initial contour is needed and it will make the final contour as close as to the real tumor boundary. However, the manual way to sketch an initial contour is very time-consuming. Thus, we propose an automatic initial contour finding method, which not only maintains the tumor shape but also is close to the tumor bou

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Keng, Kuo-Kuang, and 耿國光. "A Study on Ultrasound Image Segmentation -A New Adaptive Weighting Active Contour Model." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/26878273445718739680.

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碩士<br>國立臺灣大學<br>電機工程研究所<br>84<br>Researches on edge detection, contour extraction and image segmentation have been an important area in image processing. In recent years, many methods has been established including space-filters, region growing, graphic search and active contour model (snake model), etc. Each method has its characteristics for suitable images. Proper method should be chosen depends on different needs for different imaging modality. Because ultrasound images(UI) are complex,

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Huang, Li-Yuan, and 黃立苑. "Segmentation of Breast Tumor inUltrasound Images Using Texture Analysis and Discrete Active Contour Model." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/73935333732232910861.

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碩士<br>國立中正大學<br>資訊工程研究所<br>88<br>Due to the speckles, noise, and tissue-related textures, most techniques for segmenting ultrasound images do not perform well. In this paper, we combine texture analysis schemes and the discrete active contour model to segment the breast tumors in the ultrasound images. There are two main steps in the proposed segmentation method, the initial contour finding and the snake deformation process. In the initial contour finding, we propose several methods to get a proper initial contour, which maintains the tumor shape and is close to the tumor boundary and inside t

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haur, Yang Lin, and 楊琳豪. "Double Window-Based Active Contour Model and Its Application in the Segmentation of Echocardiograms." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/41420986039039962953.

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碩士<br>國立臺灣科技大學<br>電機工程技術研究所<br>85<br>Echocardiograms have been routinely used in the detecting of heart disease. It is an important issue in the cardiovascular diseasediagnosis by identifying the ventricle shape & boundary preciselyfrom the echocardiogram. Recently, some researchers also developed systems to provide quantitative analysis on echocardiograms.The destination of this research is to detect the accurate left ventricle and to decrease the interference of noises.In the method of this research, utilizing multiple echocardiograms to find the contour of left ventricle. First, a

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Lee, Wei, and 李偉. "Segmentation of Breast Tumor in 3D Ultrasound Images Using 3D Discrete Active Contour Model." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/96229323169578558914.

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碩士<br>國立中正大學<br>資訊工程研究所<br>89<br>In this paper, we apply the 3D active contour model to a 3D ultrasonic data file for segmenting of the breast tumor. The 3D ultrasonic file is composed of a series of 2D images. The traditional techniques of 2D image segmentation will not use the information between adjacent images. In order to suit with the property of the 3D data, we introduce the concept of the 3D stick, the 3D morphological process, and the 3D active contour model. The 3D stick can get over the problem that the ultrasound image is full of speckle noise, and highlight the edge information in

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Mishra, Akshaya Kumar. "Decoupled Deformable Model For 2D/3D Boundary Identification." Thesis, 2010. http://hdl.handle.net/10012/5310.

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The accurate detection of static object boundaries such as contours or surfaces and dynamic tunnels of moving objects via deformable models is an ongoing research topic in computer vision. Most deformable models attempt to converge towards a desired solution by minimizing the sum of internal (prior) and external (measurement) energy terms. Such an approach is elegant, but frequently mis-converges in the presence of noise or complex boundaries and typically requires careful semi-dependent parameter tuning and initialization. Furthermore, current deformable model based approaches are computati

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Lo, Chen-chou, and 羅振洲. "Automatic Segmentation of Oral Magnetic Resonance Image Based on Shape Prior Active Contour Model and Fuzzy C-means Clustering." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/06511426360106810028.

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碩士<br>國立中央大學<br>電機工程學系<br>102<br>In this study, we applied image segmentation algorithm to automatically segment the tongue contour from the oral magnetic resonance images (MRI) in order to construct a three dimensional (3-D) tongue in real human size and to study the anatomical structures of tongue muscles and reconstruct these 2-D slice results into a 3-D tongue. Based on the suggestion of the previous study from our laboratory, we adopted shape prior and fuzzy clustering knowledge into level set algorithm for solving the problems of previous research. We enhanced the pixel contrast of the f

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Yi-HsuanChou and 周宜璇. "Nuclei Location Enhancement and Cytoplasm Segmentation Based on Statistical Active Contour Model for Nuclear-to-Cytoplasmic (NC) Ratio Analysis in Third Harmonic Generation Microscopy Image." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/ajy9xs.

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碩士<br>國立成功大學<br>電機工程學系<br>103<br>For the purpose of establishing a computer-aided diagnosis protocol to provide quantitative and objective bio-information, a new cell segmentation algorithm for biomedical image analysis system is proposed, and the algorithm could be effectively applied to process plenty of changeable in vivo virtual biopsy images provided by healthy individuals. The proposed approach includes cautious identification of the nuclei position by considering both virtual staining intensity and ellipse shape feature examining based on the Hough transform, besides, combining the know

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