DocumentCode :
2488123
Title :
Adaptive segmentation of gray areas in dermoscopy images
Author :
Sforza, Gianluca ; Castellano, Giovanna ; Stanley, R. Joe ; Stoecker, William V. ; Hagerty, Jason
Author_Institution :
Comput. Sci. Dept., Univ. degli Studi Aldo Moro, Bari, Italy
fYear :
2011
fDate :
30-31 May 2011
Firstpage :
628
Lastpage :
631
Abstract :
In this work, a dermoscopic image analysis technique is proposed. A novel approach, based on the detection of gray areas using image analysis techniques is explored. To this aim, a statistical histogram analysis is carried out using the HSB color space to derive the relationship between the skewness and the mean of the brightness color plane histogram. The derived framework is used for adaptive thresholding of gray area regions within a skin lesion image.
Keywords :
biomedical optical imaging; image segmentation; medical image processing; skin; HSB color space; adaptive segmentation; brightness color plane histogram; dermoscopy images; gray area segmentation; skin lesion image; statistical histogram analysis; Brightness; Histograms; Image color analysis; Image segmentation; Lesions; Malignant tumors; Skin; medical imaging; melanoma; segmentation; skewed histogram; skin lesion detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-9336-4
Type :
conf
DOI :
10.1109/MeMeA.2011.5966741
Filename :
5966741
Link To Document :
بازگشت