A color space study for skin lesion segmentation

被引：0

作者：

Nisar, Humaira ^{[1
]}

Ch'ng, Yau Kwang ^{[1
]}

Chew, Tsyr Yee ^{[1
]}

Yap, Vooi Voon ^{[1
]}

Yeap, Kim Ho ^{[1
]}

Tang, Jyh Jong ^{[2
]}

机构：

[1] Univ Tunku Abdul Rahman, Dept Elect Engn, Kampar, Malaysia

[2] Hosp Raja Permaisuri Bainum, Dept Dermatol, Ipoh, Malaysia

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON CIRCUITS AND SYSTEMS (ICCAS 2013) | 2013年

关键词：

color models; segmentation; image analysis; Eczema skin lesions; ATOPIC-DERMATITIS; INDEX;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The objective of this research is to identify the most suitable color model for segmentation of Eczema skin lesions. Eczema is a type of Atopic Dermatitis that is diagnosed by the dermatologists by visual inspection hence by subjective assessment. For segmentation, K-means clustering has been used. Four color spaces, i.e. HSI, CMY, YCbCr and CIELAB are used for comparisons. The final conclusion is made on the basis of the results for sensitivity, specificity and accuracy for each technique. It has been observed that the color channel "H" of HSI; followed by "a" of CIELab; gives better segmentation results.

引用

页码：172 / 176

页数：5

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