read_image

说明：  自动检测干涉条纹中心线算法，代码功能强大，模块很多，方便逐一了解，全自动的算法优势。(Automatically detects interference fringes centerline algorithm, code, powerful, a lot of modules, easy to understand one by one, fully automatic algorithm advantage.)

NEDI源代码，是用于超分辨率重建的，并附上原文献，希望对大家有用~(The NEDI source code for super-resolution reconstruction, together with Uehara literature, we want to ~)

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)

RokcetChip firmware image tools

振动信号预处理。去噪、去趋势项等。滑动平均法消除趋势项。(Vibration signal preprocessing. De-noising, the trend term.)

matlab实现区域生长算法。实现起来很简单，操作起来很方便。()

snake模型寻找图像边界，以及改进的GVF算法(snake model for image border, and to improve the algorithm GVF)

这是我花了很多时间收集的有关sift-pca资料哦，里面也包括了sift-pca的MATLAB代码(This is what I spent a lot of time to collect information about the sift-pca Oh, which also includes a sift-pca MATLAB code)

【实例简介】转自CSDN分享，使用时只需改opencv路径，可成功编译。

alpha稳定分布噪声的matlab实现(alpha stable distribution noise matlab implementation)