IJMTES – IMPROVEMENT AND ANALYSIS OF TEXTURE USING TRANSITION LOCAL BINARY PATTERNS

Journal Title : International Journal of Modern Trends in Engineering and Science

Paper Title : IMPROVEMENT AND ANALYSIS OF TEXTURE USING TRANSITION LOCAL BINARY PATTERNS

Author’s Name : N Sumithra  unnamed

Volume 03 Issue 11 2016

ISSN no:  2348-3121

Page no: 16-18

Abstract – In this paper, a new algorithm which is based on the continues wavelet transformation and Transition local binarypatterns (TLBP) for content based texture image classification is proposed. We improve the Local Binary Pattern approach with Wavelet Transformation to propose the texture classification. We used 12 classes of Brodatz textures data base for proposed method. Each class is divided to 64 texture image and then wavelet transformation is applied to each texture. After transformed texture from wavelet the feature extraction matrix is formation using TLBP. The same concept is utilized at TLBP calculation which is generating nine TLBP patterns from a given 3×3 pattern. Finally, nine TLBP histograms are calculated which are used as a feature vector for image classification. Two experiments have been carried out for proving the worth of our algorithm. It is further mentioned that the database considered for experiments are Brodatz database. We verify the other method and proposed method is very good and efficient for classification texture image.  

Keywords— Texture Classification, Local Binary Pattern, Wavelet Transformation

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