Image retrieval based on texture and color method in BTC-VQ compressed domain

Because of high volume of graphic information, the retrieval of compressed images is one of the needs of information era. One of the rapid methods for image compression which has the capability to maintain important information of images for retrieval is Block Truncation Coding (BTC). In this article a new method for retrieval of images compressed by BTC has been provided. This method has been examined on a database consisting of 9983 images with different contents and its results have been compared with similar methods.