A new non-segmentation shape-based image indexing method
This paper proposes a new feature vector for non-segmentation shape-based image indexing and retrieval. This feature considers correlation between neighboring edges. Hence it includes information of continuous edges and lines of images and describes major shape properties of images. This scheme is effective and robustly tolerates translation, scaling, color, illumination, and small viewing position variations. Experimental results show superiority of proposed scheme over several other indexing methods. Averages of precision and recall rates of this new indexing scheme for retrieval as compared with edge direction histogram are 1.26 and 1.04 times, respectively.