Colour space-based thresholding for segmentation of skin lesion images
by Sudhriti Sengupta; Neetu Mittal; Megha Modi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 39, No. 4, 2022

Abstract: In computer aided diagnosis (CAD) of various skin diseases, the skin lesion image segmentation is an important phase. The quality of skin lesion images is affected by poor contrast, low illumination, complexity of texture and presence of artefacts like hair etc. For better skin lesion detection, an improved colour space-based split and merge process in combination with global thresholding segmentation technique has been proposed. The obtained results have been further enhanced by self-guided edge smoothing-colour space technique. The effectiveness of the proposed self-guided edge smoothing-colour space technique has been verified by quantitatively comparing the obtained results with the existing Otsu thresholding, adaptive thresholding and colour space techniques. The computed results show much better values of performance measuring parameters viz. entropy, dice similarity index and structural content for edge smoothing-colour space technique. This indicates far superior quality of images obtained by the proposed self-guided edge smoothing-colour space technique.

Online publication date: Fri, 05-Aug-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com