Content-based Image Retrieval using Texture and Color Features

Abstract

The emergence of multimedia technology and the rapidly expanding image collections on the
Internet have attracted significant research efforts in providing tools for effective retrieval and
management of visual data. Content-based image retrieval has been an active area of research over last
decade. In this paper, a content-based image retrieval system is presented. It supports querying by example to
retrieve images from the images database according to their texture and color features. For feature extractions,
Gray-Level Co-occurrence Matrix (GLCM) and color histogram of HSV have been used. The results appeared
quite satisfactory.