Contour co-occurrence matrix – a novel statistical shape descriptor

Authors:
Rami Rautkorpi;Jukka Iivarinen
Affiliations:
Laboratory of Computer and Information Science, Helsinki University of Technology, HUT, Finland;Laboratory of Computer and Information Science, Helsinki University of Technology, HUT, Finland
Venue:
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Year:
2005

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Abstract

In this paper a novel statistical shape feature called the Contour Co-occurrence Matrix (CCM) is proposed for image classification and retrieval. The CCM indicates the joint probability of contour directions in a chain code representation of an object's contour. Comparisons are conducted between different versions of the CCM and several other shape descriptors from e.g. the MPEG-7 standard. Experiments are run with two defect image databases. The results show that the CCM can efficiently represent and classify the difficult, irregular shapes that different defects possess.