一种新的改进的基于RGB向量空间的皮肤检测方法

M.M. Aznaveh, H. Mirzaei, E. Roshan, M. Saraee
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引用次数: 9

摘要

本文提出了一种基于RGB向量空间的皮肤检测新方法。肤色已被证明是人脸检测、定位和跟踪预处理的有用线索。图像内容过滤、内容感知视频压缩和图像色彩平衡应用也可以受益于图像中皮肤的自动检测。在过去的几年里,许多关于肤色分割和检测的工作已经在文献中被报道。本文首先介绍了几种基于像素的方法,然后提出了基于隐式数学模型的矢量计算作为确定皮肤面积的有效方法。为了评估我们的方法,我们进行了一项实验研究。所获得的结果非常有希望,并显示出与其他技术相比的重要优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new and improves skin detection method using RGB vector space
This paper describes a new method for skin detection based on RGB vector space. Skin color has proven to be a useful cue for pre-process of face detection, localization and tracking. Image content filtering, content aware video compression and image color balancing applications can also benefit from automatic detection of skin in images. Numerous works for skin color segmentation and detection have been reported in the literature in the last few years. In this paper first few pixel based methods are presented and then vector calculations as an efficient approach for determination of skin area based on implicit mathematical model is proposed. In order to evaluate our method we performed an experimental study. Results obtained are very promising and shows important advantages over other techniques.
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