Paper
21 May 1999 Describing the structural shape of melanocytic lesions
Tim Kam Lee, M. Stella Atkins, Richard P. Gallagher, Calum E. MacAulay, Andy Coldman, David I. McLean M.D.
Author Affiliations +
Abstract
This paper presents an automatic computer system for analyzing the structural shape of cutaneous melanocytic lesion borders. The computer system consists of two steps: pre-preprocessing the skin lesion images and lesion border shape analysis. In the preprocessing step, the lesion border is extracted from the skin images after the dark thick hairs are removed by a program called DullRazor. The second step analyzes the structural shape of the lesion border using a new measure called sigma-ratio. The new measure is derived from scale- space filtering technique with an extended scale-space image. When comparing the new measure with other common shape descriptors, such as compactness index and fractal dimensional, sigma-ratio is more sensitive to the structural protrusions and indentations. In addition, the extended scale- space image can be used to pinpoint the locations of the structural indentations and protrusions, the potential problem areas of the lesion.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tim Kam Lee, M. Stella Atkins, Richard P. Gallagher, Calum E. MacAulay, Andy Coldman, and David I. McLean M.D. "Describing the structural shape of melanocytic lesions", Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); https://doi.org/10.1117/12.348511
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Skin

Image segmentation

Shape analysis

Fractal analysis

Computing systems

Image processing

Melanoma

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