This paper proposes a novel approach to extract image features for texture classification. The proposed features are robust to image rotation, less sensitive to histogram equalization and noise. It comprises of two sets of features: dominant local ...
This paper proposes a new approach to extract global image features for the purpose of texture classification. The proposed texture features are obtained by generating an estimated global map representing the measured intensity similarity between any ...
The paper presents a novel texture descriptor based on Local Binary Patterns.We address the problem of rotation invariance and feature selections.The experiments are performed on standard datasets and the results are compared with the state-of-the-...
Association for Computing Machinery
New York, NY, United States
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