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Author
Debora Gil; Petia Radeva
Title
A Regularized Curvature Flow Designed for a Selective Shape Restoration
Type
Journal Article
Year
2004
Publication
IEEE Transactions on Image Processing
Abbreviated Journal
Volume
13
Issue
Pages
1444–1458
Keywords
Geometric flows, nonlinear filtering, shape recovery.
Abstract
Among all filtering techniques, those based exclu- sively on image level sets (geometric flows) have proven to be the less sensitive to the nature of noise and the most contrast preserving. A common feature to existent curvature flows is that they penalize high curvature, regardless of the curve regularity. This constitutes a major drawback since curvature extreme values are standard descriptors of the contour geometry. We argue that an operator designed with shape recovery purposes should include a term penalizing irregularity in the curvature rather than its magnitude. To this purpose, we present a novel geometric flow that includes a function that measures the degree of local irregularity present in the curve. A main advantage is that it achieves non-trivial steady states representing a smooth model of level curves in a noisy image. Performance of our approach is compared to classical filtering techniques in terms of quality in the restored image/shape and asymptotic behavior. We empirically prove that our approach is the technique that achieves the best compromise between image quality and evolution stabilization.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
IAM;MILAB
Approved
no
Call Number
BCNPCL @ bcnpcl @ GiR2004b
Serial
491
Permanent link to this record
Author
Jaume Amores; Petia Radeva
Title
Registration and Retrieval of Highly Elastic Bodies using Contextual Information
Type
Journal Article
Year
2005
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
26
Issue
11
Pages
1720–1731
Keywords
Abstract
IF: 1.138
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ AmR2005b
Serial
592
Permanent link to this record
Author
Jaume Amores; N. Sebe; Petia Radeva
Title
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
3
Pages
201–209
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
ADAS;MILAB
Approved
no
Call Number
ADAS @ adas @ ASR2006
Serial
643
Permanent link to this record
Author
Fernando Vilariño; Ludmila I. Kuncheva; Petia Radeva
Title
ROC curves and video analysis optimization in intestinal capsule endoscopy
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
8
Pages
875–881
Keywords
ROC curves; Classification; Classifiers ensemble; Detection of intestinal contractions; Imbalanced classes; Wireless capsule endoscopy
Abstract
Wireless capsule endoscopy involves inspection of hours of video material by a highly qualified professional. Time episodes corresponding to intestinal contractions, which are of interest to the physician constitute about 1% of the video. The problem is to label automatically time episodes containing contractions so that only a fraction of the video needs inspection. As the classes of contraction and non-contraction images in the video are largely imbalanced, ROC curves are used to optimize the trade-off between false positive and false negative rates. Classifier ensemble methods and simple classifiers were examined. Our results reinforce the claims from recent literature that classifier ensemble methods specifically designed for imbalanced problems have substantial advantages over simple classifiers and standard classifier ensembles. By using ROC curves with the bagging ensemble method the inspection time can be drastically reduced at the expense of a small fraction of missed contractions.
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
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Series Issue
Edition
ISSN
ISBN
Medium
Area
800
Expedition
Conference
Notes
MILAB;MV;SIAI
Approved
no
Call Number
BCNPCL @ bcnpcl @ VKR2006; IAM @ iam @ VKR2006
Serial
647
Permanent link to this record
Author
Xavier Otazu; Oriol Pujol
Title
Wavelet based approach to cluster analysis. Application on low dimensional data sets
Type
Journal Article
Year
2006
Publication
Pattern Recognition Letters
Abbreviated Journal
PRL
Volume
27
Issue
14
Pages
1590–1605
Keywords
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
Notes
MILAB; CIC; HuPBA
Approved
no
Call Number
BCNPCL @ bcnpcl @ OtP2006
Serial
658
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