FUZZY CLASSIFICATION,IMAGE SEGMENTATION AND SHAPE ANALYSIS FOR HUMAN FACE DETECTION
M.BEN HMIDY.BEN JEMAA
Tunis E1 Manar University,ENIT,BP 37,Le Belvedere 1002,Tunis TUNISIA
摘要:<正>In this paper,we describe a new algorithm for human face detection.The algorithm uses both color and shape analysis.Color analysis is based on the novel idea of fuzzy classification that manipulates ambiguity in colors;using this technique we can robustly classify skin region and non-skin region.In order to decide whether the skin region is a face or not,we test its shape by applying an edge detection using Canny operator and an ellipse detection using Hough transform. We show with experimental results how the important detection ratio makes our system an effective tool for face detection.
关键词:
Face detection; Fuzzy classification; Edge detection; Skin color; YCbCr; Canny operator; Hough transform;
会议名称:
2006 8th International Conference on Signal Processing
会议时间:
2006-11-16
会议地点:
中国广西桂林
- 专辑:
信息科技
- 专题:
计算机软件及计算机应用
- 分类号:
TP391.41
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