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IBPRIA
2003
Springer
15 years 7 months ago
Active Region Segmentation of Mammographic Masses Based on Texture, Contour and Shape Features
Abstract. In this paper we propose a supervised method for the segmentation of masses in mammographic images. The algorithm starts with a selected pixel inside the mass, which has ...
Joan Martí, Jordi Freixenet, Xavier Mu&ntil...
146
Voted
BILDMED
2009
215views Algorithms» more  BILDMED 2009»
15 years 3 months ago
Texture-Based Polyp Detection in Colonoscopy
Colonoscopy is one of the best methods for screening colon cancer. A variety of research groups have proposed methods for automatic detection of polyps in colonoscopic images to su...
Stefan Ameling, Stephan Wirth, Dietrich Paulus, Ge...
105
Voted
JVCIR
2007
101views more  JVCIR 2007»
15 years 1 months ago
A comparison of three total variation based texture extraction models
This paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization: the Meyer [27], Vese–Osher (VO) [35],...
Wotao Yin, Donald Goldfarb, Stanley Osher
115
Voted
ICIP
2009
IEEE
16 years 2 months ago
Wavelet Leader Multifractal Analysis For Texture Classification
Image classification often relies on texture characterization. Yet texture characterization has so far rarely been based on a true 2D multifractal analysis. Recently, a 2D wavelet...
ACCV
2010
Springer
14 years 9 months ago
Descriptor Learning Based on Fisher Separation Criterion for Texture Classification
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
Yimo Guo, Guoying Zhao, Matti Pietikäinen, Zh...