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Research Article · Free to read · Published 7 November 2013

WAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIX

Jeyanthi Prabhu1 & Jawahar Senthil Kumar2

Journal of Computer Science, Volume 10, Issue 1, pp. 15–22 · doi.org/10.3844/jcssp.2014.15.22

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Abstract

In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by integrated features. Feature extraction by color Histogram, texture by GLCM, texture by CCM are compared in terms of precision performance measure.

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Prabhu, J. & Kumar, J. S. (2014). WAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIX. Journal of Computer Science, 10(1), 15–22. https://doi.org/10.3844/jcssp.2014.15.22

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WAVELET BASED CONTENT BASED IMAGE RETRIEVAL USING COLOR AND TEXTURE FEATURE EXTRACTION BY GRAY LEVEL COOCURENCE MATRIX AND COLOR COOCURENCE MATRIXJournal of Computer Science · Volume 10, Issue 1 · pp. 15–22 · © Science PublicationsDownload