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- Title
Performance Evaluation of Image Retrieval using Co-occurrence Matrix & Texton Co-Occurrence Matrix.
- Authors
Aware, Sunita P.; Thakare, Laxaman P.
- Abstract
This paper put forward a new method of co-occurrence matrix to describe image features. This method can express the spatial correlation of textons. During the course of feature extracting, we have quantized the original images into 256 colors and computed color gradient from the RGB vector space, and then calculated the statistical information of textons to describe image features. Image identification experimental results have shown that our proposed method has the discrimination power of color, texture and shape features, the performances are better than that of Grey Level Co-occurrence Matrix (GLCM) and Color Correlograms (CCG).
- Subjects
IMAGE retrieval; PERFORMANCE evaluation; IMAGING systems; FUNCTIONAL analysis; IMAGE storage &; retrieval systems
- Publication
International Journal of Advanced Research in Computer Science, 2011, Vol 2, Issue 6, p199
- ISSN
0976-5697
- Publication type
Article