A Review of Content Based Image Retrieval System

al signal processing can deal with changing the nature of an image. In a content based image retrieval system image can be retrieve based on the content of the database. Image can retrieve based on some features i.e. color, shape and texture feature. To extract color feature from image, Histogram can be calculated. To extract shape feature from the image, Edge can be calculated. To extract texture feature from the image, Gray Level Co-occurrence Matrix can be used. CBIR can be used in face recognition and finding, photograph archive, web image searching etc. In this paper the different feature extraction techniques of image retrieval systems are given. Also explain similarity measurement parameter and performance measurement parameter. KeywordsBased Image Retrieval (CBIR), Gray Level Co- occurrence Matrix (GLCM), Color Co-occurrence Matrix (CCM), Texture, Histogram, Precision, Recall.