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计算机系统应用:2020,29(3):1-10
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基于像素的肤色检测方法综述
(武汉大学 印刷与包装系, 武汉 430072)
Survey on Pixel-Based Skin Color Detection Methods
(Department of Printing and Packaging, Wuhan University, Wuhan 430072, China)
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投稿时间:2019-07-25    修订日期:2019-08-23
中文摘要: 肤色检测广泛应用于人脸检测、图像过滤、机器视觉等多种领域.肤色检测的方法有很多种,本文较全面地综述了基于像素的肤色检测方法,重点分析了基于统计、基于阈值和基于机器学习等方法的原理和特点,讨论了其优势和不足,在此基础上探讨了基于像素的肤色检测方法的发展趋势.
中文关键词: 肤色检测  统计法  阈值法  机器学习
Abstract:Skin color detection is widely used in many fields such as face detection, image filtering, and machine vision. There are many methods for skin color detection. This paper comprehensively reviews the pixel-based skin color detection methods, focusing on the principles and characteristics of statistics-based, threshold-based, and machine-based learning methods, and discusses their advantages and disadvantages. The development trend of pixel-based skin color detection methods is also discussed.
文章编号:7301     中图分类号:    文献标志码:
基金项目:国家自然科学基金(61505149)
引用文本:
郑燕,张霞.基于像素的肤色检测方法综述.计算机系统应用,2020,29(3):1-10
ZHENG Yan,ZHANG Xia.Survey on Pixel-Based Skin Color Detection Methods.COMPUTER SYSTEMS APPLICATIONS,2020,29(3):1-10

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