A Novel Shape Representation and Retrieval Algorithm: Distance Autocorrelogram

Abstract

This paper introduces a new shape representation and retrieval method called distance autocorrelogram. Firstly, distance autocorrelogram is obtained under the premise of getting the contour’ centroidal distances. Then, we apply this shape descriptor to content-based image retrieval (CBIR). This feature depends on the centroidal distances and correlation between neighboring edges, so it can express the edge’ spatial distributing information. This scheme is effective and robust to translation, scaling and rotation. Experimental results and algorithm analysis demonstrate the efficiency and feasibility of this shape-based image retrieval approach. Beside, it has better performance compared to traditional distance histograms.