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基于YCbCr高斯肤色模型和形态学的人脸检测技术研究
引用本文:周虹.基于YCbCr高斯肤色模型和形态学的人脸检测技术研究[J].柳州师专学报,2014(2):136-139,96.
作者姓名:周虹
作者单位:柳州职业技术学院,广西柳州545006
摘    要:人脸检测是人脸信息处理领域的一项关键技术。本文通过选取YcbCr颜色空间,建立高斯肤色模型,然后对其验证和分析,随后对二值化图像进行阈值分割、数学形态学处理等一系列去噪处理来实现人脸检测中肤色分割过程,从而将非肤色成份尽可能排除,将可能的候选的人脸区域分割出来,为日后的人脸定位节省了大量的时间,对人脸识别的研究具有积极意义。

关 键 词:人脸检测  色彩空间  高斯模型  形态学

A Research of Face Detection Technology Based on YCbCr Gaussian Skin Color Model and the Morphology
ZHOU Hong.A Research of Face Detection Technology Based on YCbCr Gaussian Skin Color Model and the Morphology[J].Journal of Liuzhou Teachers College,2014(2):136-139,96.
Authors:ZHOU Hong
Institution:ZHOU Hong (Liuzhou Vocational and Technical College, Liuzhou, Guangxi, 545006 China)
Abstract:Face detection is a key technology of face information processing field. This paper is mainly through the selection of YCb- Cr color space, establish the Gauss skin color model, then the verification and analysis, followed by threshold segmentation, mathematical morphology processing for two value image and a series of demonizing processing to achieve color face detection in the segmentation process, thus the non skin color components as much as possible to exclude, to segment the face region possible candidate, save a lot of time for the location of face the future, is of positive significance to the research of human face recognition.
Keywords:face detection  color space  Gauss model  morphology
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