Universiti Teknologi Malaysia Institutional Repository

Threshold based skin color classification

Karamizadeh, S. and Abdullah, S. M. and Shayan, J. and Nooralishahi, P. and Bagherian, B. (2017) Threshold based skin color classification. Journal of Telecommunication, Electronic and Computer Engineering, 9 (2-3). pp. 131-134. ISSN 2180-1843

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

In this paper, we presented a new formula for skin classification. The proposed formula can overcome sensitivity to noise. Our approach was based multi-skin color Hue, Saturation, and Value color space and multi-level segmentation. Skin regions were extracted using three skin color classes, namely the Caucasoid, Mongolid and Nigroud. Moreover, in this formula, we adopted Gaussian-based weight k-NN algorithm for skin classification. The experiment result shows that the best result was achieved for Caucasoid class with 84.29 percent fmeasure.

Item Type:Article
Uncontrolled Keywords:Multi Skin, Skin Segmentation
Subjects:T Technology > T Technology (General)
Divisions:Advanced Informatics School
ID Code:76594
Deposited By: Fazli Masari
Deposited On:30 Apr 2018 13:36
Last Modified:30 Apr 2018 13:36

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