Title :
A color space study for skin lesion segmentation
Author :
Nisar, Humaira ; Yau Kwang Ch´ng ; Tsyr Yee Chew ; Vooi Voon Yap ; Kim Ho Yeap ; Jyh Jong Tang
Author_Institution :
Dept. of Electron. Eng., Univ. Tunku Abdul Rahman, Kampar, Malaysia
Abstract :
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.
Keywords :
biomedical optical imaging; diseases; image colour analysis; image segmentation; medical image processing; pattern clustering; sensitivity; skin; CIELAB color spaces; CIELab color channel; CMY color spaces; H color channel; HSI color channel; HSI color spaces; K-means clustering; YCbCr color spaces; atopic dermatitis; color model; color space study; dermatologists; diagnosis; eczema skin lesion segmentation; sensitivity; subjective assessment; visual inspection; Eczema skin lesions; color models; image analysis; segmentation;
Conference_Titel :
Circuits and Systems (ICCAS), 2013 IEEE International Conference on
Conference_Location :
Kuala Lumpur
DOI :
10.1109/CircuitsAndSystems.2013.6671629
