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qbic
介绍qbic图像处理工具的详细文档，如有兴趣请看看(Introduction qbic detailed documentation of image processing tools and, if interested please take a look)
- 2011-06-25 11:46:46下载
- 积分：1
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facedet
说明： 人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。(A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers.
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- 2010-04-07 22:02:11下载
- 积分：1
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SURF源码(matlab版)
说明： SURF的实现代码,用于图像特征提取，对于入门计算机视觉的同学有帮助(SURF implementation code for image feature extraction, for beginners of computer vision students help)
- 2020-07-17 10:58:48下载
- 积分：1
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AutomaticImageDeWeatheringUsingCurveletBasedanishi
说明： 用曲波变换点边缘检测实现自动恢复受天气影响的图像(Qu Bo transformation point with edge detection for automatic restoration of images affected by the adverse weather)
- 2008-11-17 14:02:07下载
- 积分：1
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canvas-sample
free-vision library,计算机视觉C++库，含有SAMPLE,非常经典！(free-vision library, computer vision C library, containing SAMPLE. very classic!)
- 2006-10-22 21:46:43下载
- 积分：1
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ScSR
Jianchao Yang 的基于稀疏表示的单幅图像重建的原始代码，先将高低训练图像分块，再将块训练成高低字典，将测试图像映射到低字典上，得到系数，再乘以高子典就得到最后的图像。对学习超分辨率同学的参考作用很大。(This is the original matlab code for super resolution by Jianchao Yang 。The method is sparse represent based on the overcomplete dictionary。)
- 2020-11-24 00:39:33下载
- 积分：1
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compare_SSIM
说明： 给定两张图片，利用ssim来计算两张图片他们之间的ssim相似度(compute ssim between two images)
- 2020-09-13 17:47:58下载
- 积分：1
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super-resolution-Regularization-
本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。(The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.)
- 2021-05-13 04:30:02下载
- 积分：1
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锥束CT（CBCT）的三维重构算法（FDK） FDK_Algorithm
锥束CT（CBCT）的三维重构算法（FDK）(the FDK algorithm for cone beam CT reconstruction)
- 2016-05-21 15:33:13下载
- 积分：1
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GrayGradinet
灰度共生矩阵、灰度梯度共生矩阵提取纹理特征(Gray Level Co-occurrence matrices, gray-gradient co-occurrence matrix texture features extracted)
- 2021-02-26 23:09:37下载
- 积分：1
