Content-Based Image Retrieval using color and edge direction features

This paper presents an novel technique that employs both the color and edge direction features for Content-Based Image Retrieval (CBIR). In this method, a given image is first divided into sub-block which has the same size and then the color and edge direction features of each sub-block can be extracted. Next, it constructs a codebook of color feature using clustering algorithm and then each sub-block is mapped to the codebook. Finally, it uses the color index codes to image retrieval and uses the edge direction feature as the color feature´s weight which belongs to the same color feature´s sub-block. The effectiveness of this technique is demonstrated with the experiments.