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zhongxin
自己写的计算一副图像重心的小程序，绝对有用。(Write their own calculation of an image center of gravity of small procedures, absolutely useful.)
- 2008-08-03 01:16:39下载
- 积分：1
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识别指纹端点分叉点以及奇异点Feature
说明： 识别指纹端点分叉点以及奇异点，其中还包括指纹方向场和指纹梯度场的计算(It also includes the calculation of fingerprint direction field and fingerprint gradient field)
- 2020-07-19 11:02:08下载
- 积分：1
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scanning
阈值重心法实现光带中心线提取，可用于结构光扫描的模型建立，处理二值化图像等。(Threshold barycenter method is used to extract the center line of optical band. It can be used to model structured light scanning and process binary images.)
- 2020-11-18 11:49:39下载
- 积分：1
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06026250
Adaptive Perona–Malik Model Based on the
Variable Exponent for Image DenoisingThis paper introduces a class of adaptivePerona–Malik (PM) diffusion, which combines the PM
- 2013-09-26 15:38:33下载
- 积分：1
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gmm-cv
OpenCV_基于混合高斯模型GMM的运动目标检测。内附监测监控视频，方便测试使用。(OpenCV_ GMM Gaussian mixture model based moving target detection. Included monitoring surveillance video, easy testing.)
- 2014-02-26 14:47:48下载
- 积分：1
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FaceVerification
说明： 人脸认证流程，计算人脸认证算法的FAR,FRR(Face verification process, the face authentication algorithm calculated the FAR, FRR)
- 2010-04-21 17:22:56下载
- 积分：1
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Skeleton-extraction
利用形态学的腐蚀运算提取图像边界
编写细化算法提取骨架的程序(Using morphology corrosion operation to extract image edgePreparation of thinning algorithm to extract the skeleton program)
- 2012-03-24 01:28:16下载
- 积分：1
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spams-matlab-v2.5-svn2014-07-04.tar
说明： 基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's source code.)
- 2017-08-24 11:35:19下载
- 积分：1
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picture
图像的读入，放大，cany检测，二值化，灰度化，任意角度旋转(Read image, zooming, cany detection, binarization, gray, and arbitrary rotation angle)
- 2008-05-26 19:34:52下载
- 积分：1
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xihua
本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。(This procedure should be applied to the thinning algorithm with two lines of black-and-white image before thinning effect can be seen.)
- 2009-03-18 08:29:43下载
- 积分：1
