Border Detection of Skin Lesion Images Based on Fuzzy C-Means Thresholding

被引：14
|
作者：
Supot, Sookpotharom [1 ]
机构：
[1] Bangkok Univ, Sch Engn, Dept Elect Engn, Klongluang 12120, Pathumtani, Thailand
来源：
THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING | 2009年
关键词：
skin lesion; malignant melanoma; image segmentation; fuzzy c-means;
D O I：
10.1109/WGEC.2009.96
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The accurate location of the border of skin lesions is an important first step in the automatic diagnosis of malignant melanoma. In this paper, we propose a new method of segmentation to locate the skin lesion. The method consists of two stages; image pre-processing and image segmentation. As the first step of image analysis, pre-processing techniques are implemented to remove noise and undesired structures for the images using median filtering. In the second step, the fuzzy c-means (FCM) thresholding technique is used to segment and localize the lesion. The border detection results are visually examined by an expert dermatologist and are found to be highly accurate.
引用
收藏
页码：777 / 780
页数：4
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