Contour Tracking

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Pattern Matching is a method to search for a given template or so-called model within an image. The procedure results in a similarity image with a score figure at every pixel. The higher the score, the higher will be the probability for a real match between the template and the image region in the vicinity of this individual pixel. There are some matching methods based upon the contours of objects rather than grey-level templates. These algorithms process edges in images and use quite abstract relations between geometric primitives to check geometric models of objects.

Authors:
Prof. Dr. Christoph Heckenkamp, Darmstadt University of Applied Sciences, Department of Technical Optics and Machine Vision

Keywords : Contour-based edge imaging Freeman’s chain code Geometric Model Finder geometric models grey-level file grey-level images Hough-transform labeling matching method Pattern-Matching radius function score template

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