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.
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Rautkorpi, R., Iivarinen, J. (2005). Contour Co-occurrence Matrix – A Novel Statistical Shape Descriptor. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_31
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DOI: https://doi.org/10.1007/11553595_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
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