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deblur
本源码是关于图像盲去模糊的算法，去模糊的几种方法中，盲去模糊目前研究比较热门(This source is about blind image deblurring , several defuzzification methods, blind deblurring research more popular)
- 2020-11-03 13:59:52下载
- 积分：1
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surf2stl
基于surf的图像复制篡改检测matlab实现(surf image detect matlab)
- 2012-02-14 11:11:42下载
- 积分：1
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SAR_echo_simu
雷达信号处理一些相关操作，计算其距离向，方位向以及多普勒参数等。(radar signal processing)
- 2016-10-11 09:19:28下载
- 积分：1
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C#串口调试助手附加MATLAB画图
主要功能时串口调试，附带的C#自带画图以及MATLAB画图可供参考，根据实际需求更改源码。注意：使用MATLAB画图需要安装运行环境。
- 2020-06-03下载
- 积分：1
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小波分析
说明： 一维信号的小波分解，然后进行保留模极大系数重构，图像小波去噪(Wavelet decomposition)
- 2020-12-11 10:23:29下载
- 积分：1
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homomorphic_filtering
同态滤波增强暗部细节，通过分解为照射分量和反射分量处理图片(Homomorphic filtering enhances the details of the dark portion by decomposing the image as an irradiated component and a reflection component)
- 2021-04-26 21:58:45下载
- 积分：1
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SURF
基于SUFT的特征提取与匹配，内涵详细的文档说明，很好的实现了特征提取与匹配，该方法较基本的SIFT有很大的提高(Extraction and matching of features based on SUFT, detailed content of the documentation, very good realization of the feature extraction and matching, SIFT the method is basic is greatly improved)
- 2013-10-04 11:10:04下载
- 积分：1
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high-mark
基于高阶互信息的医学图像配准算法
基于高阶互信息的医学图像配准算法代码(High-level mutual information based medical image registration algorithm based on mutual information of high-end medical image registration algorithm code)
- 2014-02-18 11:01:24下载
- 积分：1
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zhifangtujunhanghua
说明： 直方图均衡，图像去雾处理，是把原始图像的灰度直方图从比较集中的某个灰度区间变成在全部灰度范围内的均匀分布。直方图均衡化就是对图像进行非线性拉伸，重新分配图像像素值，使一定灰度范围内的像素数量大致相同。(Histogram equalization, image processing to the fog, is the original image histogram to a gray scale from the more concentrated into the full range of uniform distribution within the gray area. Histogram equalization is that the image is non-linear stretch, re-distribution of the image pixel values, so that a certain number of pixels within the gray area roughly the same.)
- 2010-04-12 01:24:43下载
- 积分：1
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discrim_rf
斯坦福大学的姚邦鹏开发的一个图像分类算法，使用random forest实现了图像的精细区域描述，赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试，程序完全可运行，且提供了MAC和Windows下的两种程序。(Image Classification: An Integration of Randomization and Discrimination
in A Dense Feature Representation
The goal of our method is to identify the discriminative fine-grained image region that distinguishes different classes. To achieve this goal we sample image regions from dense sampling space and use a random forest algorithm with discriminative classifier. Each node of the tree of random forest is trained and tested with fine-grained image patches combining the information from upstream nodes together. We implemented each node of the tree with a discriminative SVM classifier, which makes the node as a strong classifier. )
- 2012-10-30 16:17:30下载
- 积分：1
