Watershed segmentation of dermoscopy images using a watershed technique.

Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Hanzheng WangS W Menzies

Abstract

Automatic lesion segmentation is an important part of computer-based image analysis of pigmented skin lesions. In this research, a watershed algorithm is developed and investigated for adequacy of skin lesion segmentation in dermoscopy images. Hair, black border and vignette removal methods are introduced as preprocessing steps. The flooding variant of the watershed segmentation algorithm was implemented with novel features adapted to this domain. An outer bounding box, determined by a difference function derived from horizontal and vertical projection functions, is added to estimate the lesion area, and the lesion area error is reduced by a linear estimation function. As a post-processing step, a second-order B-Spline smoothing method is introduced to smooth the watershed border. Using the average of three sets of dermatologist-drawn borders as the ground truth, an overall error of 15.98% was obtained using the watershed technique. The implementation of the flooding variant of the watershed algorithm presented here allows satisfactory automatic segmentation of pigmented skin lesions.

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Citations

Oct 2, 2013·IEEE Transactions on Bio-medical Engineering·Francesco PeruchEnoch Peserico
Nov 10, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yang ChenQianjing Feng
Sep 26, 2015·Skin Research and Technology : Official Journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·R KasmiW V Stoecker
Oct 30, 2015·IEEE Transactions on Bio-medical Engineering·Fengying XieRusong Meng

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