Content-Based Image Retrieval using combined features and weighted similarity

The process of retrieving desired images from a large collection of images on the web pages on the basis of features is referred as Content Based Image Retrieval (CBIR) Search Engine. In this paper, a new CBIR search engine is proposed using combined of two features and weighted similarity. Some experimental simulations have been presented to show the efficiency of the proposed search engine.