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ICMCS
2008
IEEE
152views Multimedia» more  ICMCS 2008»
8 years 9 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
SGP
2004
8 years 5 months ago
Geometric Texture Synthesis by Example
Patterns on real-world objects are often due to variations in geometry across the surface. Height fields and other common parametric methods cannot synthesize many forms of geomet...
Pravin Bhat, Stephen Ingram, Greg Turk
ICIP
2007
IEEE
9 years 5 months ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ICIP
2010
IEEE
8 years 1 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang
ICPR
2002
IEEE
9 years 4 months ago
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to ...
Miguel Angel García, Domènec Puig
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