Дисертації з теми "Image segmentation tools"
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Rackham, Thomas. "Ultrasound segmentation tools and their application to assess fetal nutritional health." Thesis, University of Oxford, 2016. http://ora.ox.ac.uk/objects/uuid:5d102b18-dd32-4004-8aa5-b04242139daa.
Повний текст джерелаSkounakis, Emmanouil D. "Development of advanced 3D medical analysis tools for clinical training, diagnosis and treatment." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7967.
Повний текст джерелаRamme, Austin Jedidiah. "High throughput patient-specific orthopaedic analysis: development of interactive tools and application to graft placement in anterior cruciate ligament reconstruction." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2966.
Повний текст джерелаBishop, Courtney Alexandra. "Development and application of image analysis techniques to study structural and metabolic neurodegeneration in the human hippocampus using MRI and PET." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:2549bad2-432f-4d0e-8878-be9cce6ae0d2.
Повний текст джерелаBardera, i. Reig Antoni. "New medical registration and segmentation techniques using information-theoretic tools." Doctoral thesis, Universitat de Girona, 2008. http://hdl.handle.net/10803/7891.
Повний текст джерелаLa majoria de contribucions d'aquesta tesi són basades en Teoria de la Informació. Aquesta teoria tracta de la transmissió, l'emmagatzemament i el processament d'informació i és usada en camps tals com física, informàtica, matemàtica, estadística, biologia, gràfics per computador, etc.
En aquesta tesi, es presenten nombroses eines basades en la Teoria de la Informació que milloren els mètodes existents en l'àrea del processament d'imatges, en particular en els camps del registre i la segmentació d'imatges.
Finalment es presenten dues aplicacions especialitzades per l'assessorament mèdic que han estat desenvolupades en el marc d'aquesta tesi.
Medical imaging is an important focus of research. The development of new techniques that assist and enhance visual image interpretation in a timely and accurate manner is fundamental in real clinical environments.
Most of the contributions of this thesis are based on Information Theory. This theory deals with the transmission, storage and processing of information and it is used in fields such as physics, computer science, mathematics, statistics, economics, biology, computer graphics, etc.
In this thesis, several information theoretic tools have been presented in order to improve the existing methods in the image processing area, in particular in the image registration and segmentation fields.
Finally, two of the specialized applications for medical assessment which have been developed in the scope of this thesis are presented.
Mahmood, Muhammad Habib. "Motion annotation in complex video datasets." Doctoral thesis, Universitat de Girona, 2018. http://hdl.handle.net/10803/667583.
Повний текст джерелаLa segmentació del moviment es refereix al procés de separar regions i trajectòries d'una seqüència de vídeo en subconjunts coherents d'espai i de temps. En aquesta tesi hem creat un nou i multifacètic dataset amb seqüències de la vida real que inclou diferent número de moviments i fotogrames per seqüència i distorsions amb dades incomplertes. A més, inclou ground-truth en tots els fotogrames basat en mesures de trajectòria i regió. Hem proposat també una nova eina semiautomàtica per delinear les trajectòries en vídeos complexos, fins i tot en vídeos capturats amb càmeres mòbils. Amb una mínima anotació manual dels objectes, l'algoritme és capaç de propagar-la en tots els fotogrames. Durant les oclusions, la correcció de les etiquetes es realitza aplicant el seguiment de la màscara per a cada ordre de profunditat. Els resultats obtinguts mostren que el nostre enfocament ofereix resultats reeixits en una àmplia varietat de seqüències de vídeo.
Kinkar, Shilpa N. "Development and Application of Semi-automated ITK Tools Development and Application of Semi-automated ITK Tools for the Segmentation of Brain MR Images." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-050505-103641/.
Повний текст джерелаNarayanan, Priya Lakshmi. "Development of a tool for automatic segmentation of the cerebellum in MR images of children." Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/20262.
Повний текст джерелаHallenberg, 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.
Повний текст джерелаToday, 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.
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 very easy, only one USB camera connected to a laptop computer is needed and no contact with the robot tool is necessary during the calibration procedure.
The method can be split into three different parts. Initially, the transformation between the robot wrist and the tool is determined by solving a closed loop of homogeneous transformations. Second an image segmentation procedure is described for finding point correspondences on a rotation symmetric robot tool. The image segmentation part is necessary for performing a measurement with six degrees of freedom of the camera to tool transformation. The last part of the proposed method is an iterative procedure which automates an ordinary four point tool center point calibration algorithm. The iterative procedure ensures that the accuracy of the tool center point calibration only depends on the accuracy of the camera when registering a movement between two positions.
Ndlovu, Joram. "Branding as a strategic tool to reposition a destination a survey of key tourism stakeholders in Zimbabwe /." Thesis, Pretoria : [s.n.], 2009. http://upetd.up.ac.za/thesis/available/etd-09242009-225847/.
Повний текст джерелаGiulianini, Luca. "Progettazione e sviluppo di un tool di supporto alla rilevazione di alterazioni digitali in immagini del volto." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23404/.
Повний текст джерелаSemerák, Jakub. "Hromadné generování grafických prezentací." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255334.
Повний текст джерела"Fast interactive 2D and 3D segmentation tools." 1998. http://library.cuhk.edu.hk/record=b5889683.
Повний текст джерелаThesis (M.Phil.)--Chinese University of Hong Kong, 1998.
Includes bibliographical references (leaves 74-79).
Abstract also in Chinese.
Chinese Abstract --- p.v
Abstract --- p.vi
Acknowledgements --- p.vii
Chapter 1 --- Introduction --- p.1
Chapter 2 --- Prior Work : Image Segmentation Techniques --- p.3
Chapter 2.1 --- Introduction to Image Segmentation --- p.4
Chapter 2.2 --- Region Based Segmentation --- p.5
Chapter 2.2.1 --- Boundary Based vs Region Based --- p.5
Chapter 2.2.2 --- Region growing --- p.5
Chapter 2.2.3 --- Integrating Region Based and Edge Detection --- p.6
Chapter 2.2.4 --- Watershed Based Methods --- p.8
Chapter 2.3 --- Fuzzy Set Theory in Segmentation --- p.8
Chapter 2.3.1 --- Fuzzy Geometry Concept --- p.8
Chapter 2.3.2 --- Fuzzy C-Means (FCM) Clustering --- p.9
Chapter 2.4 --- Canny edge filter with contour following --- p.11
Chapter 2.5 --- Pyramid based Fast Curve Extraction --- p.12
Chapter 2.6 --- Curve Extraction with Multi-Resolution Fourier transformation --- p.13
Chapter 2.7 --- User interfaces for Image Segmentation --- p.13
Chapter 2.7.1 --- Intelligent Scissors --- p.14
Chapter 2.7.2 --- Magic Wands --- p.16
Chapter 3 --- Prior Work : Active Contours Model (Snakes) --- p.17
Chapter 3.1 --- Introduction to Active Contour Model --- p.18
Chapter 3.2 --- Variants and Extensions of Snakes --- p.19
Chapter 3.2.1 --- Balloons --- p.20
Chapter 3.2.2 --- Robust Dual Active Contour --- p.21
Chapter 3.2.3 --- Gradient Vector Flow Snakes --- p.22
Chapter 3.2.4 --- Energy Minimization using Dynamic Programming with pres- ence of hard constraints --- p.23
Chapter 3.3 --- Conclusions --- p.25
Chapter 4 --- Slimmed Graph --- p.26
Chapter 4.1 --- BSP-based image analysis --- p.27
Chapter 4.2 --- Split Line Selection --- p.29
Chapter 4.3 --- Split Line Selection with Summed Area Table --- p.29
Chapter 4.4 --- Neighbor blocks --- p.31
Chapter 4.5 --- Slimmed Graph Generation --- p.32
Chapter 4.6 --- Time Complexity --- p.35
Chapter 4.7 --- Results and Conclusions --- p.36
Chapter 5 --- Fast Intelligent Scissor --- p.38
Chapter 5.1 --- Background --- p.39
Chapter 5.2 --- Motivation of Fast Intelligent Scissors --- p.39
Chapter 5.3 --- Main idea of Fast Intelligent Scissors --- p.40
Chapter 5.3.1 --- Node position and Cost function --- p.41
Chapter 5.4 --- Implementation and Results --- p.42
Chapter 5.5 --- Conclusions --- p.43
Chapter 6 --- 3D Contour Detection: Volume Cutting --- p.50
Chapter 6.1 --- Interactive Volume Cutting with the intelligent scissors --- p.51
Chapter 6.2 --- Contour Selection --- p.52
Chapter 6.2.1 --- 3D Intelligent Scissors --- p.53
Chapter 6.2.2 --- Dijkstra's algorithm --- p.54
Chapter 6.3 --- 3D Volume Cutting --- p.54
Chapter 6.3.1 --- Cost function for the cutting surface --- p.55
Chapter 6.3.2 --- "Continuity function (x,y, z) " --- p.59
Chapter 6.3.3 --- Finding the cutting surface --- p.61
Chapter 6.3.4 --- Topological problems for the volume cutting --- p.61
Chapter 6.3.5 --- Assumptions for the well-conditional contour used in our algo- rithm --- p.62
Chapter 6.4 --- Implementation and Results --- p.64
Chapter 6.5 --- Conclusions --- p.64
Chapter 7 --- Conclusions --- p.71
Chapter 7.1 --- Contributions --- p.71
Chapter 7.2 --- Future Work --- p.72
Chapter 7.2.1 --- Real-time interactive tools with Slimmed Graph --- p.72
Chapter 7.2.2 --- 3D slimmed graph --- p.72
Chapter 7.2.3 --- Cartoon Film Generation System --- p.72
Sequeira, Manuel Menezes de. "Analysis and coding of visual objects: new concepts and new tools." Doctoral thesis, 1999. http://hdl.handle.net/10071/168.
Повний текст джерелаA codificação de vídeo tem sido intensamente estudada nos últimos anos. As normas internacionais já publicadas baseiam-se em conceitos da visão de baixo nível, sendo portanto de primeira geração. Começou recentemente a normalização de técnicas de codificação de segunda geração, suportada em conceitos da visão de médio nível tais como objectos. Esta tese apresenta novas arquitecturas para codificadores de vídeo de segunda geração e algumas das correspondentes ferramentas de análise e codificação. Apresentam-se fundamentos de teoria dos grafos aplicada à análise de imagem e propõem-se algoritmos para generalizações do problema da árvore abrangente mínima. Mostra-se que versões básicas de vários algoritmos de segmentação orientados para a região resolvem o mesmo problema. Estuda-se a globalização de informação e mostra-se que confere propriedades diferentes a esses algoritmos, transformando o algoritmo de fusão de regiões no algoritmo de árvores abrangentes mínimas recursivas (RSST). Mostra-se a eficácia de algoritmos RSST que tentam minimizar o erro global de aproximação e que usam modelos de região afins. Propõe-se um algoritmo baseado em conhecimento prévio para segmentação em vídeo-telefonia móvel. Desenvolve-se um algoritmo de estimação de movimentos de câmara eficaz na estabilização de imagem e na detecção de mudanças de cena. Propõe-se também uma técnica de compensação de movimentos de câmara para codificadores de primeira-geração. Sistematizam-se os tipos e as representações de regiões, revendo-se depois técnicas de codificação de partições. Desenvolve-se um algoritmo rápido e aproximado para cálculo de splines cúbicas fechadas.
Programas Ciência e Praxis - JNICT Projecto RACE MAVT - CEC ISCTE
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.
Повний текст джерела國立臺灣大學
醫學工程學研究所
94
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 images are characterized with high noise, low contrast and complex geometry. Algorithm often improves their performance in medical segmentation at the cost of increasing difficulties in internal parameters adjustment. Therefore, it is necessary to develop a user-friendly segmentation framework which also comprises the good ability to segment medical images. Method. The edge information of medical image is used as growing criterion. The boundary of grown regions was smoothed by 1D Gaussian filter at the end of each growing process. In addition to the image segmenting algorithm, interactive tools such as patching, cutting and inward region growing were developed on the basis of algorithm characteristics. To verify the efficiency of the developed algorithm and the interactive editing tools, they were applied to segment CT images and MR images. Result. The performance of algorithm was better on the regions with sufficient edge information than the regions surrounded with low contrast of soft tissue. The present developed algorithm had lower sensitivity to noise than classical region growing algorithms did. Conclusion. The region growing algorithm with good performance of medical image segmentation as well as instinctive parameters adjustment was successfully developed. Furthermore, the framework integrated with the developed algorithms and interactive editing tools can provides users with step-by-step instructions to process medical image. Therefore , users without engineering back ground can also use it easily.
Schmid, Benjamin. "Computational tools for the segmentation and registration of confocal brain images of Drosophila melanogaster." Doctoral thesis, 2010. https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-51490.
Повний текст джерелаExpressionsmuster genetisch manipulierter Fliegenstämme machen den Großteil neuroanatomischer Daten aus, wie sie in der Gehirnforschung der Taufliege Drosophila melanogaster entstehen. Das Drosophila Standardgehirn wurde u.a. entwickelt, um die Integration dieser Daten in ein einheitliches Referenz-Koordinatensystem zu ermöglichen. Die Arbeit mit dem Standardgehirn erfordert hochentwickelte Bildverarbeitungsmethoden, u.a. zur 3D Visualisierung, Segmentierung und Registrierung. Das bereits publizierte "VIB Protocol" stellte bisher eine Möglichkeit für die Registrierung zur Verfügung, die aber duch die Notwendigkeit manueller Segmentierung bestimmter Neuropile nur eingeschränkt verwendbar war. In der vorliegenden Arbeit stelle ich neue Werkzeuge vor, die den Umgang mit dem Standardgehirn erleichtern. Sie sind in ein bekanntes, offenes Bildverarbeitungsprogramm integriert, das potentiell als Standardsoftware in der neuroanatomischen Forschung dienen kann: ImageJ. Im Zuge dieser Arbeit wurde eine hardwarebeschleunigte 3D Visualisierungs-Bibliothek entwickelt, die die Visualisierungsmöglichkeiten von ImageJ ergänzt. Auf Basis dieser Entwicklung wurde anschließend ein neuer halbautomatischer Segmentierungs-Algorithmus erstellt. In diesem Algorithmus werden Neuropil-Oberflächen, ausgehend von ausgewählten Ausgangspunkten, aufgebaut und erweitert. Vorlagen von Neuropil-Oberflächen aus der Segmentierung eines Referenz-Datensatzes, die anhand eines modifizierten "Active Surface" Modells einbezogen werden können, ergänzen die aktuelle Segmentierung. Die so erhaltenen Oberflächen ermöglichen es, korrespondierende Landmarken in den Bildern zu ermitteln, die für eine nicht-rigide Registrierung verwendet werden. Schließlich wird dargelegt, wie die einzelnen Schritte voll automatisiert werden können, um die Bilder der Fliegengehirne aufeinander abzubilden. Die vorgestellten Methoden sind frei als Erweiterungen für ImageJ verfügbar (Plugins). Ein direkter Vergleich mit dem VIB Protokoll zeigt, dass durch die vorgestellten Methoden nicht nur der Benutzeraufwand auf ein Sechstel reduziert, sondern dass gleichzeitig auch die Genauigkeit und Reproduzierbarkeit erhöht wird
Ascenso, João Paulo Isidoro. "Tool for 3D analysis and segmentation of retinal layers in volumetric SD-OCT images." Master's thesis, 2016. http://hdl.handle.net/10362/19918.
Повний текст джерелаSchmid, Benjamin [Verfasser]. "Computational tools for the segmentation and registration of confocal brain images of Drosophila melanogaster / vorgelegt von Benjamin Schmid." 2010. http://d-nb.info/1007679395/34.
Повний текст джерелаPires, Ricardo Manuel Pereira. "A web tool to detect and track Solar features from SDO images." Master's thesis, 2018. http://hdl.handle.net/10362/82461.
Повний текст джерелаLu, Nanhan, and 呂南翰. "Automatic Segmentation and Textural Feature Analysis for B-mode Ultrasound Images as a Tool for Noninvasive Liver Fibrosis Identification and Categorization." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/82291543770828459903.
Повний текст джерела義守大學
資訊工程學系
101
Chronic hepatitis is one of the most important health threats in Taiwan. Ultrasound is a widely used medical imaging technique with non-invasive safest modality. Although ultrasound is commonly used to diagnosis of various liver diseases, the accuracy of visual diagnosis is very low, and it also strongly depends on the experience of radiologist. Recently, the identification and categorization of ultrasound images have become very desirable due to the rapid development of computer technology. However, human interaction in the developed method is still inevitable. In this paper, we propose an effective technique to solve this problem. First, Otsu’s method segmentation and sampling approach are applied to sample the region of interest (ROI) from ultrasound images. Second, we propose a modification of LBP (local binary pattern) called FLBP (fuzzy local binary pattern) as texture descriptor, which is used to analyze textural features. Finally, the principle component of texture feature is introduced to classify the textures. The preliminary results indicate that the proposed methods can achieve satisfactory performance for both segmentation and categorization of liver fibrosis. In the future, the further investigation will be continued. Analysis of more ultrasound images will be performed in our experiment. Furthermore, we will also adjust the parameters to optimize the new method. We expect not only improve diagnostic accuracy of liver fibrosis but also increase the categorization accuracy.