Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis

The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is one essential requirement of an efficient noninvasive computer aided diagnosis tool for accelerating the identification...

Full description

Saved in:
Bibliographic Details
Published inMathematical problems in engineering Vol. 2018; no. 2018; pp. 1 - 19
Main Authors Olugbara, Oludayo, Heukelman, Delene, Taiwo, Tunmike B.
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
Hindawi Limited
Subjects
Algorithms
Automation
Color
Image acquisition
Image segmentation
Melanoma
Methods
Pattern recognition
Salience
Skin cancer
Wavelet transforms
Online AccessGet full text

Cover

More Information
Summary:The prevalence of melanoma skin cancer disease is rapidly increasing as recorded death cases of its patients continue to annually escalate. Reliable segmentation of skin lesion is one essential requirement of an efficient noninvasive computer aided diagnosis tool for accelerating the identification process of melanoma. This paper presents a new algorithm based on perceptual color difference saliency along with binary morphological analysis for segmentation of melanoma skin lesion in dermoscopic images. The new algorithm is compared with existing image segmentation algorithms on benchmark dermoscopic images acquired from public corpora. Results of both qualitative and quantitative evaluations of the new algorithm are encouraging as the algorithm performs excellently in comparison with the existing image segmentation algorithms.
ISSN:1024-123X
1563-5147
DOI:10.1155/2018/1524286