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non_local
自己用python复现的NL-mean去噪,备注比较详细,便于理解原理;
之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle.
We will try to reproduce more classical papers in the field of image.)
- 2020-06-21 00:40:02下载
- 积分:1
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Phase_Unwrapping_2D
二维相位展开算法
引导相位展开方法相质量运行QualityGuidedUnwrap2D的。
运行戈尔茨坦枝剪相位展开方法GoldsteinUnwrap2D。
(3D实施质量的制导方法,可根据要求提供)(2D PHASE UNWRAPPING ALGORITHMS
Run QualityGuidedUnwrap2D for the phase quality guided phase unwrapping method.
Run GoldsteinUnwrap2D for Goldstein s branch cut phase unwrapping method.
(3D implementation of the quality guided method available on request))
- 2020-10-29 11:19:57下载
- 积分:1
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Face_test_luminance
MATLAB实现的 人脸检测定位,M文件,较为准确的(MATLAB realize Face Detection positioning, M files, more accurate)
- 2008-02-27 20:21:52下载
- 积分:1
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test
说明: 实现了监控视频图像的去隔行算法,使隔行扫描的图像插值成为逐行扫描(The realization of the surveillance video images Deinterlacing Algorithm, so deinterlacing Image Interpolation become progressive scan)
- 2008-12-01 16:47:29下载
- 积分:1
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maxomin
求二维图像的极大值点与极小值点,很好用,希望对大家有帮助(image maximum points and minimum points, very useful)
- 2014-07-20 10:57:35下载
- 积分:1
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wave
小波学习资料
供初学者和小波爱好者参考用()
- 2007-08-13 17:14:24下载
- 积分:1
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image_NSCT_fusion
基于NSCT的几种图像融合算法,并对算法的性能作了比较,该代码有详细的说明。(Several image fusion algorithm based on NSCT, and compares the performance of the algorithm, the code is described in detail.)
- 2015-04-22 23:01:09下载
- 积分:1
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Camshift
说明: 这是基于Camshift的目标跟踪code,编程语言为matlab。下载解压后可以直接运行。(This is the target tracking code based on CAMSHIFT, and the programming language is matlab. After downloading and decompressing, you can run it directly.)
- 2020-05-11 20:05:02下载
- 积分:1
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Photoshop
photoshop的各个效果的详细介绍,方便研究photoshop的各种算法,值得一看啊!!(photoshop detailed description of the various effects, photoshop various algorithms to facilitate research, worth ah! !)
- 2010-06-23 17:53:09下载
- 积分:1
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RANSAC-Toolbox
图像处理中ransac算法使用工具,同图复制篡改检测(The image processing algorithm ransac tool tamper detection with FIG copy)
- 2017-05-02 11:18:07下载
- 积分:1