Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis
Joint Authors
Olugbara, Oludayo
Taiwo, Tunmike B.
Heukelman, Delene
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-13
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Olugbara, Oludayo& Taiwo, Tunmike B.& Heukelman, Delene. 2018. Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1205647
Modern Language Association (MLA)
Olugbara, Oludayo…[et al.]. Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis. Mathematical Problems in Engineering No. 2018 (2018), pp.1-19.
https://search.emarefa.net/detail/BIM-1205647
American Medical Association (AMA)
Olugbara, Oludayo& Taiwo, Tunmike B.& Heukelman, Delene. Segmentation of Melanoma Skin Lesion Using Perceptual Color Difference Saliency with Morphological Analysis. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-19.
https://search.emarefa.net/detail/BIM-1205647
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205647