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» Texture Analysis using Level-crossing Statistics
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CAIP
2003
Springer
166views Image Analysis» more  CAIP 2003»
14 years 26 days ago
Unsupervised Segmentation Incorporating Colour, Texture, and Motion
Abstract. In this paper we integrate colour, texture, and motion into a segmentation process. The segmentation consists of two steps, which both combine the given information: a pr...
Thomas Brox, Mikaël Rousson, Rachid Deriche, ...
ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
14 years 2 months ago
A geometric method to compute directionality features for texture images
In content based image analysis and retrieval, texture feature is an essential component due to its strong discriminative power. Directionality is one of the most significant text...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ICPR
2002
IEEE
14 years 17 days ago
Supervised Segmentation of Textures in Backscatter Images
In this paper we present an application of statistical pattern recognition for segmentation of backscatter images (BSE) in product analysis of laundry detergents. Currently, appli...
Pavel Paclík, Robert P. W. Duin, Geert M. P...
ICB
2007
Springer
163views Biometrics» more  ICB 2007»
14 years 1 months ago
Palmprint Recognition Based on Directional Features and Graph Matching
Palmprint recognition, as a reliable personal identity check method, has been receiving increasing attention during recent years. According to previous work, local texture analysis...
Yufei Han, Tieniu Tan, Zhenan Sun
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu