The-Curvelet-Transform-

提出一种基于特征点的运动场景图像拼接算法。基于相似变换消除选取在运动物体上的特征点，并使用RANSAC算法进行外点的剔除。在融合阶段，根据齐次变换矩阵求得对2幅图像的差异图像，并执行区域增长算法。从而分割出运动区域。使用一种分段映射算法生成全景图像。实验证明了算法的有效性。(A feature-based algorithm for image mosaics of 8c宅Iles with moving objects is pI．oposcd．The algorithm eliminates the feature points which arc selected in moving objects using similarity transform，and the outliers are eliminated using RANSAC algorithm．In the image blend phase，a difference of two images is created using homogeneous transformation matrix，and a region growth algorithm is implemented SO as to segment the movmg object region．A piecewise mapping algorithm for generating panoramic images is used．Experimental results show the effectiveness of the algorithm．)

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。

像点坐标自动提取，使用Matlab软件中图像处理的功能，来实现达亚像素水平的像点定位和坐标的自动获取。(Automatic extraction of image point coordinates)

利用经典PM模型在matlab上运行的图像降噪程序(Image denoising program based on classical PM model)

基于Hough变换的虹膜自动分割的matlab代码(Automatically based on Hough transform in iris segmentation matlab code)

实现图像的锐化浮雕等效果。当然，这是我自己弄了很多次之后的。我也忘了它实现的是什么效果了，反正就是大概图片处理一类的。(To achieve the effect of image sharpening and other relief. Of course, I get many times. I also forget to realize what effect, anyway, is about image processing class.)

说明：  这是一个基于活动轮廓模型的快速全局最小算法的matlab实现程序，对学习现代图像处理有一定帮助。(This is an active contour model based on the rapid global minimum algorithm matlab implementation process of learning in modern image processing have some help.)

超声图像处理软件dream，开源代码，用于仿真超声图像(Ultrasound image processing software dream, open-source code for the simulation of ultrasound images)

递归与分治演算Gray码，Gray码是一个长度为2N的序列(Recursive partition calculus with the Gray code, Gray code is a sequence of length 2N)

RMSHE算法（recursive mean-separate histogram equalization）。基本原理是将图像根据平均灰度进行分割，各部分分别进行直方图均衡。文件中包含RMSHE的matlab源代码，论文，以及输入图像(RMSHE algorithm (recursive mean-separate histogram equalization). The basic principle is that the image based on the average gray-scale is divided, each part respectively histogram equalization. File contains RMSHE matlab source code, papers, as well as the input image)