Content Based Image Retrieval System With Fuzzified Texture Similarity Measurement

Content based image retrieval (CBIR) system is a database management system for retrieval of images based on the similarity of image content with the query image. In the proposed CBIR system, Tamura texture features are extracted as image content. To measure similarity of query image with images in database, a fuzzified distance measure, fuzzy hamming distance (FHD), is used. The database is sorted in the increasing order of similarity measure, and made available to user. The proposed technique is implemented in Matlab and its effectiveness is verified using the standard Bordatz texture database.