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» Texture similarity evaluation using ordinal co-occurrence
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ICIAP
1997
ACM
15 years 1 months ago
Unsupervised Texture Segmentation Using Feature Distributions
This paper presents an unsupervised texture segmentation method, which uses distributions of local binary patterns and pattern contrasts for measuring the similarity of adjacent i...
Timo Ojala, Matti Pietikäinen
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 11 months ago
A Compression Based Distance Measure for Texture
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
Bilson J. L. Campana, Eamonn J. Keogh
ACCV
2010
Springer
14 years 4 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...
MM
2010
ACM
174views Multimedia» more  MM 2010»
14 years 10 months ago
Personalized photograph ranking and selection system
In this paper, we propose a novel personalized ranking system for amateur photographs. Although some of the features used in our system are similar to previous work, new features,...
Che-Hua Yeh, Yuan-Chen Ho, Brian A. Barsky, Ming O...
MVA
2006
120views Computer Vision» more  MVA 2006»
14 years 9 months ago
A model of diatom shape and texture for analysis, synthesis and identification
We describe tools for automatic identification and classification of diatoms that compare photographs with other photographs and drawings, via a model. Identification of diatoms, i...
Yulia Hicks, A. David Marshall, Paul L. Rosin, Ral...