Research Article Open Access

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

Jeyanthi Prabhu1 and Jawahar Senthil Kumar2
  • 1 Sathyabama University Chennai, India
  • 2 Anna University Chennai, India

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.

Journal of Computer Science
Volume 10 No. 1, 2014, 15-22

DOI: https://doi.org/10.3844/jcssp.2014.15.22

Submitted On: 4 October 2013 Published On: 7 November 2013

How to Cite: 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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Keywords

  • GLCM
  • Color Histogram
  • CCM
  • Feature Extraction
  • Precision