Adaptive Segmentation of Gray Areas in Dermoscopy Images
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.
G. Sforza et al., "Adaptive Segmentation of Gray Areas in Dermoscopy Images," Proceedings of the IEEE International Workshop on Medical Measurements and Applications Proceedings (MeMeA) (2011, Bari, Italy), Institute of Electrical and Electronics Engineers (IEEE), May 2011.
The definitive version is available at https://doi.org/10.1109/MeMeA.2011.5966741
IEEE International Workshop on Medical Measurements and Applications Proceedings (MeMeA) (2011: May 30-31, Bari, Italy)
Electrical and Computer Engineering
Keywords and Phrases
Adaptive Segmentation; Adaptive Thresholding; Color Planes; Color Space; Dermoscopy Images; Histogram Analysis; Image Analysis Techniques; Melanoma; Skewed Histogram; Skin Lesion Detection; Skin Lesion Images; Color; Dermatology; Graphic Methods; Image Analysis; Image Segmentation; Statistical Methods; Medical Imaging
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2011 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.