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。
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.
作者
张坤
王烨东
李文元
李昌禄
雷志春
ZHANG Kun;WANG Ye-dong;LI Wen-yuan;LI Chang-lu;LEI Zhi-chun(School of Microelectronic, Tianjin University, Tianjin 300072, China;Hisense Visual Technology Co., Ltd., Qingdao 266071, China)
出处
《液晶与显示》
CAS
CSCD
北大核心
2021年第2期293-304,共12页
Chinese Journal of Liquid Crystals and Displays
基金
天津市科技支撑项目(No.16YFZCGX00760)。
关键词
肤色检测
自适应肤色检测算法
高斯模型
图像分割
计算机视觉
skin detection
adaptive skin detection algorithm
Gaussian model
image segmentation
computer vision
