自适应动态肤色检测技术研究进展

张坤; 王烨东; 李文元; 李昌禄; 雷志春

doi:10.37188/CJLCD.2020-0196

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自适应动态肤色检测技术研究进展

图像处理 | 更新时间：2021-02-07

- 自适应动态肤色检测技术研究进展
- Research progress of adaptive dynamic skin color detection technology
- 液晶与显示 2021年36卷第2期页码：293-304
- 作者机构：
  
  1.天津大学微电子学院, 天津 300072
  2.海信视像科技股份有限公司, 山东青岛 266071
- 作者简介：
  
  [ "张坤(1996-), 男, 河北石家庄人, 硕士研究生, 2018年于长春理工大学获得学士学位, 主要从事图像处理技术方面的研究。E-mail:zk_cohen61004@tju.edu.cn" ]
  [ "雷志春(1964-), 男, 河北迁安人, 博士, 教授, 1998年于德国多特蒙德大学获得博士学位, 主要从事图像处理、显示技术等方面的研究。E-mail:zclei@tju.edu.cn" ]
- 基金信息：
  
  天津市科技支撑重点项目(16YFZCGX00760)
- DOI：10.37188/CJLCD.2020-0196
  中图分类号： TP391.41;TP18
- 收稿日期：2020-07-24，
  
  修回日期：2020-09-18，
  
  录用日期：2020-9-18，
  
  纸质出版日期：2021-02
- 稿件说明：
移动端阅览
张坤, 王烨东, 李文元, 等. 自适应动态肤色检测技术研究进展[J]. 液晶与显示, 2021,36(2):293-304.

Kun ZHANG, Ye-dong WANG, Wen-yuan LI, et al. Research progress of adaptive dynamic skin color detection technology[J]. Chinese journal of liquid crystals and displays, 2021, 36(2): 293-304.
张坤, 王烨东, 李文元, 等. 自适应动态肤色检测技术研究进展[J]. 液晶与显示, 2021,36(2):293-304. DOI： 10.37188/CJLCD.2020-0196.

Kun ZHANG, Ye-dong WANG, Wen-yuan LI, et al. Research progress of adaptive dynamic skin color detection technology[J]. Chinese journal of liquid crystals and displays, 2021, 36(2): 293-304. DOI： 10.37188/CJLCD.2020-0196.

摘要

肤色检测在人脸检测、手势识别、敏感图像过滤、医疗诊断、图像增强等计算机视觉和图像处理领域具有广泛的应用。由于人体肤色容易受光照条件、种族等因素的影响，难以在非限制性场景中达到理想的肤色检测效果，所以自适应肤色检测方法应运而生。本文较全面地对自适应肤色检测方法进行了综述，重点分析了基于参数动态调整和基于高层语义特征的自适应肤色检测方法，讨论了它们各自的优势和不足，并在此基础之上展望了未来的发展趋势，为相关研究人员提供参考。

Abstract

Skin color detection is widely used in face detection

gesture recognition

sensitive image filtering

medical diagnosis

image enhancement and so on. It is an important technology for computer vision and image processing fields. Because human skin color is easily affected by lighting conditions

races

etc.

it is difficult to achieve ideal detection results under unconstrained environments. The emergence of adaptive methods makes the above problems improved. In this paper

adaptive skin detection methods are comprehensively reviewed. The paper focuses on the analysis of adaptive skin detection methods based on parameter dynamic adjustment and high-level semantic features. Meanwhile

it discusses their respective advantages and disadvantages. On this basis

the future development trend is prospected

which aims at providing reference for related researchers.

关键词

Keywords

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