Corner detection by searching two class pattern substrings

Authors:
Hermilo Sánchez-Cruz
Affiliations:
Centro de Ciencias Básicas, Universidad Autónoma de Aguascalientes, Aguascalientes, México
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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Abstract

A new method for corner detection is proposed. Previous approaches for detecting corners rely on computing angle functions to find changes of curvature. Generally, those methods employ eight different symbols to represent contour shapes. The method of this work is based on using three symbols of a chain code to find pattern substrings, detecting corners in the contour shape. The method relies on searching for the relationship among neighbor points, finding two basic pattern contour chain elements, requiring few computing power to obtain shape corners.