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MSRM_1
本程序是应用于图像分割（区域合并）基于最大相似 联合开发网 - pudn.com
- 2011-10-31 21:32:14下载
- 积分：1
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secret-sharing-ideas
针对图像秘密共享前需要像素置乱的问题，基于(t, n)门限多重秘密共享思想，提出一种免置乱的图像秘密共享方案，以第n+1人的秘密份额作为因子参与秘密分割与重构，加大相邻像素之间的差距(Based on (t, n) threshold multiple secret sharing ideas, and put forward a kind of scrambling image from secret sharing scheme to n+ 1 people share the secret as factors involved in secret segmentation and reconstruction, increase the gap between adjacent pixels)
- 2012-04-10 16:25:00下载
- 积分：1
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LevelSetMethods
用WENO,ENO等高分辨方法结合LEVELSET做图像处理(With WENO, ENO methods, such as high-resolution image processing done LEVELSET)
- 2009-06-02 17:22:37下载
- 积分：1
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sift_test
sift图像处理的一个测试的代码，他是用C++写的 用到了opencv中的一些函数(sift image processing as a test of the code, he wrote with C++ uses some of the opencv function)
- 2013-07-27 22:19:41下载
- 积分：1
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698073
经典ldpc编译码程序 gallager的博士论文里的部分仿真程序,(Classic LDPC decoding programming gallagher s doctoral thesis in part of the simulation program,)
- 2017-05-19 14:13:41下载
- 积分：1
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EM-MRF-ICM
基于EM-马尔科夫随机场-ICM的图像分割程序，很好的学习代码(EM-based Markov random-ICM image segmentation procedures, good learning code)
- 2013-11-14 23:10:39下载
- 积分：1
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最小二乘法估计仿射矩阵
目前MATLAB里边对于多点计算仿射矩阵普遍采用RANSAC法，但是比较麻烦计算量也相对较大，通过最小二乘法来进行仿射矩阵的估计能够大大提高该效率，所以奉上自己在实验室写的仿射矩阵估计函数，来弥补matlab函数库在这方面的不足。(The MATLAB inside for calculating affine matrix commonly used RANSAC method, but more trouble calculation is relatively large, estimated by the least squares method to the affine matrix can greatly improve the efficiency, so give yourself in laboratory to write the estimated affine matrix function, to compensate for the lack of MATLAB Library in this area.)
- 2018-02-01 17:11:33下载
- 积分：1
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gray2rgb
能将一幅灰度图像根据用户自己给定的彩色图像将其对应的转化为真彩色图像。(Gray image can be processed into rgb image.)
- 2013-10-16 10:15:06下载
- 积分：1
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06035777
文献，基于融合和聚类的遥感图像变化检测技术(Literature, based on remote sensing image fusion and change detection clustering technology)
- 2013-12-09 22:53:30下载
- 积分：1
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RF2B
将RF信号处理为B型图像的工具包,非常好用(a toolkit to transfer RF signal to B-mode images)
- 2020-09-16 11:07:56下载
- 积分：1
