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» Iterative Feature Selection for Color Texture Classification
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ICIP
2009
IEEE
14 years 8 months ago
A Fractal Dimension Based Optimal Wavelet Packet Analysis Technique For Classification Of Meningioma Brain Tumours
With the heterogeneous nature of tissue texture, using a single resolution approach for optimum classification might not suffice. In contrast, a multiresolution wavelet packet ana...
ICPR
2000
IEEE
13 years 11 months ago
Robust Texture Classification by Subsets of Local Binary Patterns
Recently, a nonparametric approach to texture analysis has been developed, in which the distributions of simple texture measures based on local binary patterns (LBP) are used for ...
Topi Mäenpää, Timo Ojala, Matti Pie...
ISBI
2011
IEEE
12 years 11 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
ICIP
2007
IEEE
13 years 7 months ago
Information-Based Color Feature Representation for Image Classification
1 For the image classification task, the color histogram is widely used as an important color feature indicating the content of the image. However, the high-resolution color histog...
Shi-Lin Wang, Alan Wee-Chung Liew
CVPR
2007
IEEE
14 years 9 months ago
Multi-Layer Background Subtraction Based on Color and Texture
In this paper, we propose a robust multi-layer background subtraction technique which takes advantages of local texture features represented by local binary patterns (LBP) and pho...
Jian Yao, Jean-Marc Odobez