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tikhonov
该算法用于求解线性病态逆问题，同时该算法已经过实际验证，重建结果较好，希望对大家有所参考。(The algorithm for solving linear pathological inverse problem, at the same time, the algorithm was validated through actual and reconstruction results are good, hope to be of reference.)
- 2016-12-05 11:49:16下载
- 积分：1
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MRF-grubcut
通过Markov随机场（MRF）实现图像的分割，例程给出了图像分割为3类的MRF算法(By Markov random field (MRF) for image segmentation, image segmentation routine gives the MRF algorithm for the three classes)
- 2013-08-26 21:48:28下载
- 积分：1
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Sobel-Process
索贝尔算子程序，可以对图像进行索贝尔算子处理。(Sobel process program, which can process using sobel method.)
- 2012-02-28 10:07:22下载
- 积分：1
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hingfun
非常适合计算机视觉方面的研究使用,包括四元数的各种计算,算法优化非常好，几乎没有循环。( Very suitable for the study using computer vision, Including quaternion various calculations, Algorithm optimization is very good, almost no circulation.)
- 2017-02-07 16:03:47下载
- 积分：1
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retinalsegmentation
说明： 文献 基于灰度-梯度共生矩阵的视网膜血管分割方法(Literature based on the gray- the gradient co-occurrence matrix of the retinal blood vessel segmentation method)
- 2009-07-28 06:35:00下载
- 积分：1
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HIO-algorithm
使用HIO算法实图像现相位恢复，包含源代码，简单实用，适于初学者学习。(HIO algorithm using real image recovery phase now, including source code, simple and practical, suitable for beginners to learn.)
- 2021-04-26 20:48:45下载
- 积分：1
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Filterbackproj
matlab编写的CT图像的滤波反投影程序(matlab prepared CT images of the filtered back-projection program)
- 2011-11-25 21:46:11下载
- 积分：1
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HMRF_EM_image
这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)
- 2021-03-02 23:29:33下载
- 积分：1
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noise
说明： 对用声级计测得的交通噪声级进行分析和处理，包括图形的显示(Right to use sound level meter measured the traffic noise level of analysis and processing, including the graphical display of)
- 2010-03-20 10:17:37下载
- 积分：1
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Qass
源码用于计算不同的重建图像方法得到图像的质量评估检测(Source used to calculate the different image reconstruction methods to assess the quality of the image detection)
- 2020-11-10 15:19:46下载
- 积分：1
