Scale-based corner extraction of a contour figure using a crystalline flow

Authors:
Hidekata Hontani;Koichiro Deguchi
Affiliations:
Department of Informatics, Yamagata University, Yonezawa, Yamagata, Japan;Graduate School of Information Sciences, Tohoku University, Sendai, Japan
Venue:
Proceedings of the 11th international conference on Theoretical foundations of computer vision
Year:
2002

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Abstract

We propose a scale-based method for extracting corners from a given polygonal contour figure. A crystalline flow is introduced to represent geometric features in a scale-space. It is an extension of a usual curvature flow. A special class of polygonal contours is evolved based on the nonlocal curvature. The nonlocal curvature is determined for each facet by its length. In the crystalline flow, a given polygon remains polygonal through the evolving process. Different from a usual curvature flow, it is easy to track a facet in a given polygon through the evolution. This aspect helps us to extract a set of dominant corners. Experimental results show that our method extracts a set of dominant corner facets successfully from a given contour figure.