Shape Retrieval Algorithm Based on Distance Autocorrelogram

we introduce a new feature vector for shapebased image retrieval. This feature depends on two factors: the centroidal distances of shape and correlation between neighboring edges, hence this scheme is not only effective and robust to translation, scaling, and rotation, but also has the qualities of expressing the spatial information of edges. Experimental results show the proposed method has clearer superiority and higher average precision and recall rates than several other methods.