Content Based Image Retrieval Using Multiple Features

Since the last decade, Content-Based Image Retrieval was a hot topic research. The computational complexity and the retrieval accuracy are the main problems that CBIR systems have to avoid. To avoid these problems, this paper proposes a new content-based image retrieval method that uses color texture and edge direction feature . Color features are the fundamental characteristics of the content of images. Color feature is one of the most widely used features in low level feature. Texture provides the measures of properties such as smoothness, coarseness, and regularity. The edge of the image is another important feature that represented the content of the image. Using color ,texture and edge direction feature to describe the image and use them for image retrieval is more accurate than using one of them