Region-Based Image Retrieval Using Multiple-Features

Content-based image retrieval from large multimedia databases effectively and efficiently is a challenging task. In this paper, we propose a retrieval technique that utilizes the regional properties of the images. After image segmentation, each region is represented by its colour, shape, size, and spatial position. Regions of different images are matched and a distance measure between the whole images is calculated. The relative importance of the above features is investigated, and colour plays a major role in the process of distance computation. Our representation is robust to minor inaccuracy in image segmentation, is invariant to scaling and can perceive geometric changes like translation and rotation. The experimental results indicate that our technique outperforms recently proposed techniques.