Novel Approach to Color Texture Retrieval Based on GLCM

  • Miroslav Benco
  • Robert Hudec
  • Martina Zachariasova
  • Patrik Kamencay
  • Slavomir Matuska
Keywords: co-occurrence, color texture, GLCM, one-dimensional, texture extraction

Abstract

The color and texture are very important features in image analysis. In this paper, the combination of these features is presented. Several approaches for color texture features extraction are researched. The improvement of the one-dimensional version of GLCM (Gray Level Co-occurrence Matrix) for color textures was designed. We named this method as Color Level Co-occurrence Matrix (1D-CLCM). The experiments on database of 2600 color images are provided. Finally, the evaluation and comparison of image retrieval results for separate methods are presented.

Author Biographies

Miroslav Benco

Department of Telecommunications, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

Robert Hudec

Department of Telecommunications, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

Martina Zachariasova

Department of Telecommunications, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

Patrik Kamencay

Department of Telecommunications, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

Slavomir Matuska

Department of Telecommunications, Faculty of Electrotechnical Engineering, University of Zilina, Slovakia

Published
2013-07-31
How to Cite
Benco, M., Hudec, R., Zachariasova, M., Kamencay, P., & Matuska, S. (2013). Novel Approach to Color Texture Retrieval Based on GLCM. Communications - Scientific Letters of the University of Zilina, 15(2A), 55-59. Retrieved from http://journals.uniza.sk/index.php/communications/article/view/655
Issue
Vol 15 No 2A (2013)
Section
Articles