In this paper, we investigated the mechanism of dividing a 2D- object 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.
CITATION STYLE
Lee, T. K., Atkins, M. S., & Li, Z. N. (2001). Indentation and protrusion detection and its applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2106, pp. 335–343). Springer Verlag. https://doi.org/10.1007/3-540-47778-0_31
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