A DYNAMIC THRESHOLD APPROACH FOR SKIN SEGMENTATION IN COLOR IMAGES

被引：49

作者：

Yogarajah, Pratheepan ^{[1
]}

Condell, Joan ^{[1
]}

Curran, Kevin ^{[1
]}

Cheddad, Abbas ^{[1
]}

McKevitt, Paul ^{[1
]}

机构：

[1] Univ Ulster, Sch Comp & Intelligent Syst, ISRC, Coleraine BT52 1SA, Londonderry, North Ireland

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年

关键词：

Skin segmentation; eye detection; skin tone; dynamic threshold; color images;

D O I：

10.1109/ICIP.2010.5652798

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a novel dynamic threshold approach to discriminate skin pixels and non-skin pixels in color images. Fixed decision boundaries (or fixed threshold) classification approaches are successfully applied to segment human skin. These fixed thresholds mostly failed in two situations as they only search for a certain skin color range: 1) any non-skin object may be classified as skin if non-skin objects's color values belong to fixed threshold range. 2) any true skin may be mistakenly classified as non-skin if that skin color values do not belong to fixed threshold range. Therefore in this paper, instead of predefined fixed thresholds, novel online learned dynamic thresholds are used to overcome the above drawbacks. The experimental results show that our method is robust in overcoming these drawbacks.

引用

页码：2225 / 2228

页数：4

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