minimum-spanning-tree

图像去模糊处理的matlab源程序，附带源图片。是在经典图像模糊化的基础上进行恢复的，不是盲恢复(Image to fuzzy treatment matlab source, and with the source images. In classic blur image is conducted on the basis of the recovery, not blind recovery )

　对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题(The disadvantage of the classical binary method Ostu Bernsen algorithm and algorithms exist were analyzed, one binding Canny operator image binarization method. This method considers the edge information and gray information, through seed near the edge point padding and a low threshold image to its repair in a high threshold binary image to obtain a binary result image, it solves the noise immunity classical binary method exists difference, rough edges, artifacts phenomenon and other shortcomings. the experimental results show that this method can solve the low-contrast image and the target image pixel gray uneven binary problem)

填充区域图像，设置填充区域，填出图像的颜色(Filled regional images, set fill area, fill in the color of the image)

基于MSRCR和SSR算法实现一个基本的图像去雾程序(A basic image fogging program based on MSRCR and SSR algorithm)

c#数字图像处理算法典型实例,本资料从数学角度来讲解图片处理的各种方法，是个不可多得的实例(c# a typical example of the digital image processing algorithms, the data from a mathematical point of view to explain the various methods of image processing, is a rare instance)

在MATLAB中，信号S经过信道H卷积后生成接收信号V，V＝conv(S,H),从V和H反卷积(In MATLAB, the signal S after convolution H channel generated receive signal V, V = conv (S, H), from V and H deconvolution)

图像配准C++版

自己写的分割脑组织的程序，用FCM方法分割，可以直接运行(Write their own brain tissue segmentation procedure, using FCM segmentation method can be run directly)

包涵了计算影像的几种质量指标，这些指标都是全局指标，对影像质量评价有一定作用(Image Quality Index ：IFC、Q4、QNR、VIF)

用于压缩感知技术重建，本方法是滤波重建算法(Compressed sensing technology for the reconstruction, the reconstruction algorithm is to filter)