Farthest point distance: A new shape signature for Fourier descriptors
Image Communication
Shape retrieval based on the relativity of chain codes
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Invariant curvature-based Fourier shape descriptors
Journal of Visual Communication and Image Representation
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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.