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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