电子测试
電子測試
전자측시
ELECTRONIC TEST
2015年
3期
21-23
,共3页
色彩空间%肤色模型%模板匹配%人脸检测
色綵空間%膚色模型%模闆匹配%人臉檢測
색채공간%부색모형%모판필배%인검검측
color space%skin color model%template matching%face detection
本文提出了一种基于肤色模型与模板匹配的人脸检测方法。基于YCbCr色彩空间的高斯概率模型，对肤色进行相似度计算和二值化分割，采用形态学对二值化后的图像去噪处理，随后又利用人脸先验知识进一步排除非人脸区域，最后结合人脸模板进行匹配，最终确定并标记出图像中人脸的位置。实验表明，该方法能够在复杂背景图像中较准确地检测出人脸。
本文提齣瞭一種基于膚色模型與模闆匹配的人臉檢測方法。基于YCbCr色綵空間的高斯概率模型，對膚色進行相似度計算和二值化分割，採用形態學對二值化後的圖像去譟處理，隨後又利用人臉先驗知識進一步排除非人臉區域，最後結閤人臉模闆進行匹配，最終確定併標記齣圖像中人臉的位置。實驗錶明，該方法能夠在複雜揹景圖像中較準確地檢測齣人臉。
본문제출료일충기우부색모형여모판필배적인검검측방법。기우YCbCr색채공간적고사개솔모형，대부색진행상사도계산화이치화분할，채용형태학대이치화후적도상거조처리，수후우이용인검선험지식진일보배제비인검구역，최후결합인검모판진행필배，최종학정병표기출도상중인검적위치。실험표명，해방법능구재복잡배경도상중교준학지검측출인검。
The face detection method based on skin color model and template matching is presented in this paper.With the skin color Gaussin probability model based on YCbCr color space,the color similarity is calculated and two value segmentation is processed.The morphological filter is used for two value of the image.Subsequently,the face’s priori knowledge is exploited to further exclude non-human face area. Finally,the use of face template matching,eventually identifies and marks out face location of the human image.The results of experiments show that the method could be accurate detection of a human face in the image with complex back ground.
