Texture Classification Using Combined Statistical Approach
نویسندگان
چکیده
The statistical approaches such as texture spectrum and local binary pattern methods have been discussed in this paper. The features are extracted by the computation of LBP and Texture Spectrum histogram. A combined approach of LBP with texture spectrum is also proposed further. Experiments of texture feature extraction, classification of textures and similarity-based image-to-image matching are performed on the texture images of Brodatz album to demonstrate the efficiency and effectiveness of the proposed method. The experimental result shows that combined approach has higher accuracy than other methods specified for texture classification. An average correct classification of 98.46% has been obtained.
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