文件名称:EigenFaces
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所属分类：
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- 上传时间：2015-05-27
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文件大小：4.03mb
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已下载：0次
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相关连接：无下载说明：别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容来自于网络，使用问题请自行百度
通过运行结果，我们可以发现Roberts算子：边缘定位准，但是对噪声敏感。与用于边间明显且噪声较少的分割。
Prewitt算子：对噪声具有抑制作用，抑制噪声的原理是通过像素平均，但是像素平均相对于图像的低通滤波，所以对边缘的定位不如Roberts算子。
Sobel算子：它和Prewitt算子都是加权平均，但是sobel算子，-Face detection technology is a new biometric identification technology, is an important question related to every field in our society, and in all aspects of today s society has great research significance and application prospect, has a wide application in all aspects of social security, financial security and information security. The main method of face recognition, first face detection is the important premise and basis of face recognition, and then preprocessing to improve image quality,
Prewitt算子：对噪声具有抑制作用，抑制噪声的原理是通过像素平均，但是像素平均相对于图像的低通滤波，所以对边缘的定位不如Roberts算子。
Sobel算子：它和Prewitt算子都是加权平均，但是sobel算子，-Face detection technology is a new biometric identification technology, is an important question related to every field in our society, and in all aspects of today s society has great research significance and application prospect, has a wide application in all aspects of social security, financial security and information security. The main method of face recognition, first face detection is the important premise and basis of face recognition, and then preprocessing to improve image quality,
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ORL/s33_8.bmp
ORL/s33_9.bmp
ORL/s34_1.bmp
ORL/s34_10.bmp
ORL/s34_2.bmp
ORL/s34_3.bmp
ORL/s34_4.bmp
ORL/s34_5.bmp
ORL/s34_6.bmp
ORL/s34_7.bmp
ORL/s34_8.bmp
ORL/s34_9.bmp
ORL/s35_1.bmp
ORL/s35_10.bmp
ORL/s35_2.bmp
ORL/s35_3.bmp
ORL/s35_4.bmp
ORL/s35_5.bmp
ORL/s35_6.bmp
ORL/s35_7.bmp
ORL/s35_8.bmp
ORL/s35_9.bmp
ORL/s36_1.bmp
ORL/s36_10.bmp
ORL/s36_2.bmp
ORL/s36_3.bmp
ORL/s36_4.bmp
ORL/s36_5.bmp
ORL/s36_6.bmp
ORL/s36_7.bmp
ORL/s36_8.bmp
ORL/s36_9.bmp
ORL/s37_1.bmp
ORL/s37_10.bmp
ORL/s37_2.bmp
ORL/s37_3.bmp
ORL/s37_4.bmp
ORL/s37_5.bmp
ORL/s37_6.bmp
ORL/s37_7.bmp
ORL/s37_8.bmp
ORL/s37_9.bmp
ORL/s38_1.bmp
ORL/s38_10.bmp
ORL/s38_2.bmp
ORL/s38_3.bmp
ORL/s38_4.bmp
ORL/s38_5.bmp
ORL/s38_6.bmp
ORL/s38_7.bmp
ORL/s38_8.bmp
ORL/s38_9.bmp
ORL/s39_1.bmp
ORL/s39_10.bmp
ORL/s39_2.bmp
ORL/s39_3.bmp
ORL/s39_4.bmp
ORL/s39_5.bmp
ORL/s39_6.bmp
ORL/s39_7.bmp
ORL/s39_8.bmp
ORL/s39_9.bmp
ORL/s3_1.bmp
ORL/s3_10.bmp
ORL/s3_2.bmp
ORL/s3_3.bmp
ORL/s3_4.bmp
ORL/s3_5.bmp
ORL/s3_6.bmp
ORL/s3_7.bmp
ORL/s3_8.bmp
ORL/s3_9.bmp
ORL/s40_1.bmp
ORL/s40_10.bmp
ORL/s40_2.bmp
ORL/s40_3.bmp
ORL/s40_4.bmp
ORL/s40_5.bmp
ORL/s40_6.bmp
ORL/s40_7.bmp
ORL/s40_8.bmp
ORL/s40_9.bmp
ORL/s4_1.bmp
ORL/s4_10.bmp
ORL/s4_2.bmp
ORL/s4_3.bmp
ORL/s4_4.bmp
ORL/s4_5.bmp
ORL/s4_6.bmp
ORL/s4_7.bmp
ORL/s4_8.bmp
ORL/s4_9.bmp
ORL/s5_1.bmp
ORL/s5_10.bmp
ORL/s5_2.bmp
ORL/s5_3.bmp
ORL/s5_4.bmp
ORL/s5_5.bmp
ORL/s5_6.bmp
ORL/s5_7.bmp
ORL/s5_8.bmp
ORL/s5_9.bmp
ORL/s6_1.bmp
ORL/s6_10.bmp
ORL/s6_2.bmp
ORL/s6_3.bmp
ORL/s6_4.bmp
ORL/s6_5.bmp
ORL/s6_6.b
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