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» Discrete Mixture Models for Unsupervised Image Segmentation
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ICCV
2009
IEEE
15 years 20 days ago
Segmentation and Shading Estimation in Slowly Changing Textured Images
We present a novel representation for modeling textured regions subject to smooth variations in orientation and scale. Utilizing the steerable pyramid of Simoncelli and Freeman ...
Jason Chang, John W. Fisher III
DGCI
2008
Springer
13 years 9 months ago
First Results for 3D Image Segmentation with Topological Map
This paper presents the first segmentation operation defined within the 3D topological map framework. Firstly we show how a traditional segmentation algorithm, found in the literat...
Alexandre Dupas, Guillaume Damiand
FGR
2008
IEEE
346views Biometrics» more  FGR 2008»
14 years 2 months ago
Markov random field models for hair and face segmentation
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
Kuang-chih Lee, Dragomir Anguelov, Baris Sumengen,...
ISBI
2008
IEEE
14 years 8 months ago
Level set segmentation of dermoscopy images
This paper presents a method for the segmentation of skin lesions in dermoscopy images. The proposed technique uses region based level sets and adopts a mixture of Gaussian densit...
Margarida Silveira, Jorge S. Marques
ICAPR
2005
Springer
14 years 1 months ago
Texture Exemplars for Defect Detection on Random Textures
We present a new approach to detecting defects in random textures which requires only very few defect free samples for unsupervised training. Each product image is divided into ove...
Xianghua Xie, Majid Mirmehdi