Abstract
In this paper, we investigated the mechanism of dividing a 2Dobject border into a set of local and global indentation and protrusion segments by extending the classic curvature scale-space filtering method. The resultant segments, arranged in hierarchical structures, can represent the object shape. Applying this technique, we derived a border irregularity measure for pigmented skin lesions. The measure correlated well with experienced dermatologists’ evaluations and may be useful for measuring the malignancy of the lesion. Furthermore, we can use the method to discover all the bays in an aerial map.
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© 2001 Springer-Verlag Berlin Heidelberg
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Lee, T.K., Atkins, M.S., Li, ZN. (2001). Indentation and Protrusion Detection and Its Applications. In: Kerckhove, M. (eds) Scale-Space and Morphology in Computer Vision. Scale-Space 2001. Lecture Notes in Computer Science 2106, vol 2106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47778-0_31
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DOI: https://doi.org/10.1007/3-540-47778-0_31
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