Fuzzy Mamdani Inference System Skin Detection
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 modi- .ed fuzzy rules has been introduced to deal with the skin-lie pixels problem. These modi.ed 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 classi.cation of human skin image and animal images. The experimental result is then compared with explicitly de.ned skin region and fuzzy sugeno classi.cation 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.
Ali Selamat Mohd Aizaini Maarof Tey Yi Chin
Universiti Teknologi Malaysia Faculty of Computer Science and Information Systems
国际会议
2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)
沈阳
英文
1-6
2009-08-12（万方平台首次上网日期，不代表论文的发表时间）