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» Texture classification with minimal training images
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BILDMED
2009
215views Algorithms» more  BILDMED 2009»
15 years 24 days 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...
TMI
2002
191views more  TMI 2002»
14 years 11 months ago
Automatic Detection of Abnormalities in Chest Radiographs Using Local Texture Analysis
A fully automatic method is presented to detect abnormalities in frontal chest radiographs which are aggregated into an overall abnormality score. The method is aimed at finding ab...
Bram van Ginneken, Shigehiko Katsuragawa, Bart M. ...
ICPR
2008
IEEE
16 years 26 days ago
Directionality measurement and illumination estimation of 3D surface textures by using mojette transform
This paper presents a new approach to measure texture directions and estimate illumination tilt angle of 3D surface textures by using mojette transform. Feature vectors are genera...
Florent Autrusseau, Junyu Dong, Lin Qi, Peng Jia
109
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FGR
2006
IEEE
108views Biometrics» more  FGR 2006»
15 years 3 months ago
Regression and Classification Approaches to Eye Localization in Face Images
We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
Mark Everingham, Andrew Zisserman
99
Voted
ECCV
2006
Springer
16 years 1 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker