Chain Code Distribution-Based Image Retrieval

Abstract

The direction chain code has been widely used in image retrieval for its simplicity and low storage requirement. One problem with the chain code is that it lacks of the spatial information of the image content, which limits its use in image retrieval. In this paper, two novel methods, called Chain Code Coherence Vector (CCCV) and Chain Code Distribution Vector (CCDV) are presented, which not only have the advantages of being invariant to the position, rotation and scaling but also contain the spatial information of the image content. In the end, two different distance measures are presented to measure the similarity of shape information embedded in the CCCV and CCDV. Experiment demonstrates the efficiency of our proposed algorithms.