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A non-invasive automated approach for eczema lesions segmentation using colour space normalization Cover

A non-invasive automated approach for eczema lesions segmentation using colour space normalization

Journal of the National Science Foundation of Sri Lanka
Volume 50 (2022): Issue 3
By: ,   and    
Open Access
|Oct 2022
Authors

Authors

H. Nisar

humaira@utar.edu.my

Universiti Tunku Abdul Rahman, Malaysia

Y-K Ch'ng

chngyaukwang@hotmail.com

Universiti Tunku Abdul Rahman, Malaysia

K.H. Yeap

yeapkh@utar.edu.my

Universiti Tunku Abdul Rahman, Malaysia
DOI: https://doi.org/10.4038/jnsfsr.v50i3.10403 | Journal eISSN: 2362-0161
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Language: English
Page range: 705 - 716
Published on: Oct 31, 2022
Published by: National Science Foundation of Sri Lanka
In partnership with: Paradigm Publishing Services
Keywords:
atopic dermatitis,
K-means segmentation,
selection modes,
skin lesions

© 2022 H. Nisar, Y-K Ch'ng, K.H. Yeap, published by National Science Foundation of Sri Lanka
This work is licensed under the Creative Commons License.

Volume 50 (2022): Issue 3
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