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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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mcmcstuff
本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档(toolbox is a collection of Matlab functions for Bayesian inference
with Markov chain Monte Carlo (MCMC) methods)
- 2009-03-02 17:54:09下载
- 积分：1
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matlab-cbir-master
cbir matlab code gui, for retri image
- 2016-08-07 00:36:40下载
- 积分：1
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C with image
说明： 用c语言实现一些简单的图像处理功能，如灰度化、旋转、拷贝等(Some simple image processing functions, such as gray scale, rotation, copy, etc., are implemented in C language.)
- 2020-06-17 21:00:06下载
- 积分：1
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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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Cross-Correlation-Target-Image-Detection
说明： 基于互相关的图像匹配算法，可以在图像精确找到匹配图像！(Cross-correlation-based image matching algorithm, you can find a matching image image accurate!)
- 2008-09-09 11:11:08下载
- 积分：1
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graycomatrix
计算灰度共生矩阵的Matlab程序，提取图像灰度共生矩阵( glcm image segmentation matlab GLCM program segmentation glcm GLCM Matlab Code image segmentation GLCM matrix )
- 2021-04-14 16:58:55下载
- 积分：1
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fusion
通过将高分辨率的图像和低分辨率的图像进行融合，来实现图像的融合。(By fusing high-resolution and low-resolution images, image fusion can be achieved.)
- 2019-01-02 13:38:51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
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different-step
两种不同量化步长的图像采样编码重够后的图像比较(Comparison of the two different images of the image sample quantization step size after encoding the heavy enough)
- 2014-03-29 15:40:21下载
- 积分：1
