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masksample
sample illust back image2 mask sample
- 2013-11-13 01:14:35下载
- 积分：1
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tuxingxue
画矩形的代码，包含各种算法，具体的自己看吧，这是图形处理的作业之一(Draw a rectangle of the code, contains a variety of algorithms, specifically for yourself, this is one of the graphics processing jobs)
- 2013-09-26 14:42:11下载
- 积分：1
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free_surface
This file contains functions to solve volume of fluid function to track free surface.
- 2015-04-27 17:15:56下载
- 积分：1
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plate
说明： 此程序是关于车牌识别重的一个重要环节——图像的二值化过程，希望能给你一些帮助(this program is heavy on the license plate to identify an important part of the-- the two values image process and hope to give you some help)
- 2006-04-01 09:36:42下载
- 积分：1
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SAR原始数据及其RD成像算法 raw
SAR原始数据及其RD成像算法MATLAB程序，SAR原始数据及其RD成像算法MATLAB程序(SAR raw data and its RD imaging algorithm MATLAB, SAR raw data and its RD imaging algorithm MATLAB
)
- 2020-11-13 23:29:42下载
- 积分：1
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22164429182
能够很好的实现车牌定位的matlab源程序.但是不能实现车牌字符分割(Able to realize a very good source matlab plate positioning. But not license plate character segmentation)
- 2008-05-03 18:30:22下载
- 积分：1
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unwrap2
相位接包裹程序，可以对相位进行展开，简单，展开速度快(Phase then wrapped procedures can start phase, simple, fast start)
- 2008-12-17 12:45:27下载
- 积分：1
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exp4
本程序是实现图像处理的关于调色板的设置功能。(This program is a set of image processing functions on the palette)
- 2015-05-03 11:36:15下载
- 积分：1
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KSVD-for-SAR_LOG
用基于稀疏表示和KSVD字典学习去噪方法在对数域对SAR图像抑斑，本方法相对于一些经典的SAR图像抑斑方法，抑斑效果大大提高。(Based on the sparse representation and KSVD dictionary learning denoising method in the logarithmic domain，we despeckle SAR image, compared with some of the classic SAR image speckle suppression method, this method is much more effective.)
- 2012-03-16 22:26:44下载
- 积分：1
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CSR_Denoising
该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)
- 2017-05-02 20:48:25下载
- 积分：1
