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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Geometrical Multiscale Noise Resistant Method of Edge Detection
verfasst von : Agnieszka Lisowska
Erschienen in: Image Analysis and Recognition
Verlag: Springer Berlin Heidelberg
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In the paper the multiscale geometrical noise resistant method of edge detection based on second order wedgelets has been presented. Unlike the other known methods the proposed one can detect arc edges as segments of second degree curves instead of a set of straight lines. Such curve edges are parameterized by only one additional parameter reflecting the curvature of the edge. That approach allows for more compact representation of edges in an image also better reflecting the image geometry than the other well known methods. Thanks to that the new method can be used as the first step in high performance object recognition techniques. The experiments confirmed high effectiveness of the method in edge detection including noisy images.