Universiti Teknologi Malaysia Institutional Repository

Fuzzy mamdani inference system skin detection

Selamat, Ali and Maarof, Mohd. Aizaini and Chin, Tey Yi (2009) Fuzzy mamdani inference system skin detection. In: 2009 Ninth International Conference on Hybrid Intelligent Systems. Article number 5254534, 3 . IEEE, pp. 57-62. ISBN 978-076953745-0

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Official URL: http://dx.doi.org/10.1109/HIS.2009.224

Abstract

Skin detection is well known to detect the appearance of human and human parts within an image. However, there are several limitations exist in skin detection when using skin colour as cue to detect skin appearance. These limitations include problems such as illumination, skin-like pixels and camera characteristic. In this paper, a set of modified fuzzy rules has been introduced to deal with the skin-lie pixels problem. These modified fuzzy rules were integrated with skin modelling method in order to discriminate skin pixel and non-skin pixel. The experiment conducted in this paper is classification of human skin image and animal images. The experimental result is then compared with explicitly defined skin region and fuzzy sugeno classification method. From the experiments, we have found that the proposed fuzzy rules are applicable if the RGB value of pixel does not close to low value.

Item Type:Book Section
Additional Information:2009 9th International Conference on Hybrid Intelligent Systems, HIS 2009; Shenyang; 12 August 2009 through 14 August 2009
Uncontrolled Keywords:animal images, classification methods, human skin, mamdani inference, modelling method
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:14626
Deposited By: Ms Zalinda Shuratman
Deposited On:30 Sep 2011 15:20
Last Modified:30 Sep 2011 15:20

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