Study on Algorithm of Texture Image Retrival by Gray Level Co-occurrence Matrix
Fu Li · 2009
Image's feature extraction and matching is essential for content-based image retrieval.To retrieve texture ima-ge better,this paper discussed the Rational method for extract features of texture image by gray level co-occurrence matrix.Then combined with similarity measures,the basic system based on GLCM was developed.Different measure functions and different combination of statistics were used to analyze their effect on retrieval.The result indicates that better retrieval performance is achieved by extracting four parameters from GLCM and measuring them with weighted block distance.