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Author |
Debora Gil |
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Title |
Geometric Differential Operators for Shape Modelling |
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Year |
2004 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Medical imaging feeds research in many computer vision and image processing fields: image filtering, segmentation, shape recovery, registration, retrieval and pattern matching. Because of their low contrast changes and large variety of artifacts and noise, medical imaging processing techniques relying on an analysis of the geometry of image level sets rather than on intensity values result in more robust treatment. From the starting point of treatment of intravascular images, this PhD thesis ad- dresses the design of differential image operators based on geometric principles for a robust shape modelling and restoration. Among all fields applying shape recovery, we approach filtering and segmentation of image objects. For a successful use in real images, the segmentation process should go through three stages: noise removing, shape modelling and shape recovery. This PhD addresses all three topics, but for the sake of algorithms as automated as possible, techniques for image processing will be designed to satisfy three main principles: a) convergence of the iterative schemes to non-trivial states avoiding image degeneration to a constant image and representing smooth models of the originals; b) smooth asymptotic behav- ior ensuring stabilization of the iterative process; c) fixed parameter values ensuring equal (domain free) performance of the algorithms whatever initial images/shapes. Our geometric approach to the generic equations that model the different processes approached enables defining techniques satisfying all the former requirements. First, we introduce a new curvature-based geometric flow for image filtering achieving a good compromise between noise removing and resemblance to original images. Sec- ond, we describe a new family of diffusion operators that restrict their scope to image level curves and serve to restore smooth closed models from unconnected sets of points. Finally, we design a regularization of snake (distance) maps that ensures its smooth convergence towards any closed shape. Experiments show that performance of the techniques proposed overpasses that of state-of-the-art algorithms. |
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Ph.D. thesis |
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Publisher |
Ediciones Graficas Rey |
Place of Publication |
Barcelona (Spain) |
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Jordi Saludes i Closa;Petia Radeva |
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84-933652-0-3 |
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prit |
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IAM; |
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no |
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IAM @ iam @ GIL2004 |
Serial |
1517 |
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Author |
David Masip |
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Title |
Face Classification Using Discriminative Features and Classifier Combination |
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Book Whole |
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Year |
2005 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB) |
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Ph.D. thesis |
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Jordi Vitria |
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84-933652-3-8 |
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OR;MV |
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no |
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Call Number |
Admin @ si @ Mas2005b |
Serial |
602 |
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Author |
Misael Rosales |
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Title |
A Physics-Based Image Modelling of IVUS as a Geometric and Kinematic System |
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Book Whole |
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Year |
2005 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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CVC (UAB) |
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Ph.D. thesis |
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Petia Radeva |
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978-84-922529-8-7 |
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no |
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Call Number |
Admin @ si @ Ros2005 |
Serial |
603 |
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Author |
Joan Mas; Gemma Sanchez; Josep Llados |
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Title |
An Incremental Parser to Recognize Diagram Symbols and Gestures represented by Adjacency Grammars |
Type |
Book Whole |
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Year |
2006 |
Publication |
Graphics Recognition: Ten Years Review and Future Perspectives, W. Liu, J. Llados (Eds.), LNCS 3926: 252–263 |
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DAG |
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no |
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DAG @ dag @ MSL2006a |
Serial |
711 |
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Author |
Oriol Ramos Terrades |
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Title |
Linear Combination of Multiresolution Descriptors: Application to Graphics Recognition |
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Book Whole |
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Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC & Universite Nancy 2 |
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Thesis |
Ph.D. thesis |
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Editor |
Salvatore Antoine Tabbone;Ernest Valveny |
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DAG |
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no |
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Call Number |
DAG @ dag @ Ram2006 |
Serial |
713 |
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Author |
Fernando Vilariño |
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Title |
A Machine Learning Approach for Intestinal Motility Assessment with Capsule Endoscopy |
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Book Whole |
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Year |
2006 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Abstract |
Intestinal motility assessment with video capsule endoscopy arises as a novel and challenging clinical fieldwork. This technique is based on the analysis of the patterns of intestinal contractions obtained by labelling all the motility events present in a video provided by a capsule with a wireless micro-camera, which is ingested by the patient. However, the visual analysis of these video sequences presents several im- portant drawbacks, mainly related to both the large amount of time needed for the visualization process, and the low prevalence of intestinal contractions in video.
In this work we propose a machine learning system to automatically detect the intestinal contractions in video capsule endoscopy, driving a very useful but not fea- sible clinical routine into a feasible clinical procedure. Our proposal is divided into two different parts: The first part tackles the problem of the automatic detection of phasic contractions in capsule endoscopy videos. Phasic contractions are dynamic events spanning about 4-5 seconds, which show visual patterns with a high variability. Our proposal is based on a sequential design which involves the analysis of textural, color and blob features with powerful classifiers such as SVM. This approach appears to cope with two basic aims: the reduction of the imbalance rate of the data set, and the modular construction of the system, which adds the capability of including domain knowledge as new stages in the cascade. The second part of the current work tackles the problem of the automatic detection of tonic contractions. Tonic contrac- tions manifest in capsule endoscopy as a sustained pattern of the folds and wrinkles of the intestine, which may be prolonged for an undetermined span of time. Our proposal is based on the analysis of the wrinkle patterns, presenting a comparative study of diverse features and classification methods, and providing a set of appro- priate descriptors for their characterization. We provide a detailed analysis of the performance achieved by our system both in a qualitative and a quantitative way. |
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Address |
CVC (UAB) |
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Thesis |
Ph.D. thesis |
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Editor |
Petia Radeva |
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84-933652-7-0 |
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800 |
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Notes |
MV;SIAI |
Approved |
no |
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Call Number |
Admin @ si @ Vil2006; IAM @ iam @ Vil2006 |
Serial |
738 |
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Author |
Josep Llados |
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Title |
Computer Vision: Progress of Research and Development |
Type |
Book Whole |
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Year |
2006 |
Publication |
1st CVC Internal Workshop Computer Vision: Progress of Research and Development, |
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J. Llados (ed.), |
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ISBN |
84-933652-8-9 |
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CVCRD |
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DAG |
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no |
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Call Number |
DAG @ dag @ Lla2006b |
Serial |
766 |
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Author |
F. Pla; Petia Radeva; Jordi Vitria |
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Title |
Pattern Recognition: Progress, Directions and Applications |
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2006 |
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84-933652-6-2 |
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Notes |
OR;MILAB;MV |
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no |
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Call Number |
BCNPCL @ bcnpcl @ PRV2006b |
Serial |
771 |
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Author |
W. Liu; Josep Llados |
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Title |
Graphics Recognition. Ten Years Review and Future Perspectives |
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Year |
2006 |
Publication |
6th International Workshop |
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Volume |
3926 |
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Hong Kong (China) |
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GREC |
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DAG |
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no |
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DAG @ dag @ LiL2006 |
Serial |
800 |
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Author |
Josep Llados; W. Liu; Jean-Marc Ogier |
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Title |
Seventh IAPR International Workshop on Graphics Recognition GREC 2007 |
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2007 |
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Curitiba (Brazil) |
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DAG |
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no |
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Call Number |
DAG @ dag @ LLO2007 |
Serial |
835 |
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Author |
Joan Marti; Jose Miguel Benedi; Ana Maria Mendonça; Joan Serrat |
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Title |
Pattern Recognition and Image Analysis |
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Year |
2007 |
Publication |
3rd Iberian Conference |
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Volume |
6669 |
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Pages |
4477-4478 |
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Girona (Spain) |
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IbPRIA |
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ADAS |
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no |
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ADAS @ adas @ MBM2007 |
Serial |
994 |
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Author |
Daniel Ponsa |
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Title |
Model-Based Visual Localisation of Contours and Vehicles |
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Book Whole |
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Year |
2007 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
Abbreviated Journal |
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Phd Thesis |
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Thesis |
Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Antonio Lopez;Xavier Roca |
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978-84-935251-3-2 |
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ADAS |
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no |
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ADAS @ adas @ Pon2007 |
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1107 |
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Author |
Robert Benavente |
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Title |
A Parametric Model for Computational Colour Naming |
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2007 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Editor |
Maria Vanrell |
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CIC |
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CAT @ cat @ Ben2007 |
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1108 |
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Author |
Debora Gil; Jordi Gonzalez; Gemma Sanchez (eds) |
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Title |
Computer Vision: Advances in Research and Development |
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2007 |
Publication |
Proceedings of the 2nd CVC International Workshop |
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UAB |
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Bellaterra (Spain) |
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Debora Gil; Jordi Gonzalez; Gemma Sanchez |
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978-84-935251-4-9 |
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IAM; ISE; DAG |
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IAM @ iam @ GGS2007 |
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1493 |
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Author |
Jordi Gonzalez; Thomas B. Moeslund |
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Title |
Tracking Humans for the Evaluation of their Motion in Image Sequences |
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2008 |
Publication |
First International Workshop, THEMIS |
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Leeds (UK) |
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978-84-935251-9-4 |
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THEMIS |
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no |
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Call Number |
ISE @ ise @ GMW2008 |
Serial |
1002 |
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