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GVF
做图像轮廓提取的应该都听说果GVF这个概念，也难免有没听过的，不过可以看看这个程序(Does the image contour extraction of GVF should have heard the concept of fruit, but also inevitably have heard, but can look at this process)
- 2008-05-04 12:27:53下载
- 积分：1
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yasuobianma
图像处理.最全的压缩编码与解码.非常值得学习(Image processing most complete compression encoding and decoding. Worth learning)
- 2016-09-22 19:03:03下载
- 积分：1
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PCA_change_detecttion
变化检测的常用方法：基于pac的变化检测方法，结果很好！(Common method of change detection: pac change detection method based on the results of good!)
- 2020-11-22 14:49:34下载
- 积分：1
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APBT
代码使用全相位双正交变换（APBT）稀疏表示图像，主函数为test.(The code uses the all phase biorthogonal transform (APBT) sparse representation of the image, the main function for the test.)
- 2021-01-18 15:28:43下载
- 积分：1
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squint_sar
Matlab程序，长点目标斜视SAR仿真。校正距离走动，未校正距离弯曲，距离-多普勒算法。(Matlab program, long-point target squint SAR simulation. The correction distance walking, uncorrected distance bending, distance- Doppler algorithm.)
- 2012-09-26 22:11:09下载
- 积分：1
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Water-level-detection1111
Water level detection1111 good
- 2013-12-24 05:25:35下载
- 积分：1
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shade1
检测视频中的运动目标以及阴影，并消除阴影，基于opencv，将RGB颜色空间根据一定的转换关系转换到HSV空间，最后消除阴影， 可以在vc6.0和vs2008上正常运行(Shadow detection algorithm based on HSV color space)
- 2012-08-20 21:22:09下载
- 积分：1
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MNF
说明： 最小噪声分离变换（Minimum Noise Fraction Rotation，MNF Rotation）工具用于判定图像数据内在的维数（即波段数），分离数据中的噪声，减少随后处理中的计算需求量(Minimum Noise Fraction Rotation (MNF Rotation) tool is used to determine the intrinsic dimension (i.e. band number) of image data, separate the noise in data, and reduce the computational requirements in subsequent processing.)
- 2020-06-26 15:40:02下载
- 积分：1
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mRMR_0.9_compiled
利用互信息进行特征抽取的方法实现，能找到最具代表的特征，有效的实现了计算量的减少和可用来维数缩减(The use of mutual information feature extraction method of implementation, to find the most representative characteristics of an effective implementation of the computation of the reduction and can be used to reduce the dimension)
- 2021-02-07 15:19:55下载
- 积分：1
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DualchnnelPCNN
说明： 通过双通道PCNN来实现多源图像融合，算法简单易于实现(image fusion using dual channel PCNN)
- 2010-04-29 17:52:33下载
- 积分：1
