首页> 外文会议>2012 IEEE 1st Global Conference on Consumer Electronics. >Fingernail detection in hand images using difference of nail-color pixels' density between vicinity areas of fingernails and skin
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Fingernail detection in hand images using difference of nail-color pixels' density between vicinity areas of fingernails and skin

机译:利用指甲附近区域和皮肤之间的指甲颜色像素密度差异来检测手图像中的指甲

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摘要

No research group has developed practical “fingernail detection” technologies in hand images including palm areas and/or wrist rotation angles, because the human palm has the similar color with fingernail areas. We propose in this paper a new and practical fingernail detection method, using the differences in nail-color pixels' density between vicinity areas of fingernails and skin. Experimental results showed that our system practically works in fingernail detection in hand images at least 80 percent of correction, even though users rotate their hands from −90 to −40 degrees and from 40 to 90 degrees, i.e. excepting that hand is not facing upward or downward.
机译:没有研究小组在手图像(包括手掌区域和/或手腕旋转角度)中开发实用的“指甲检测”技术,因为人类手掌的颜色与指甲区域相似。我们在本文中提出了一种新的实用的指甲检测方法,该方法利用了指甲和皮肤附近区域之间指甲颜色像素密度的差异。实验结果表明,即使用户将手从-90度旋转到-40度和从40度旋转到90度,我们的系统实际上仍可以在手部图像中进行至少80%的校正,也就是说,除非手没有朝上或向下。

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