PSNR

模糊聚类图像分割，还包括spectral clustering及其改进版（按照pr2010某paper）(image segmentation using fuzzy c means & spectral clustering)

彩色图像融合 NSCT 实现红外与可见光图像融合(Color image fusion NSCT realize infrared and visible image fusion)

图形图像处理，混合高斯图像背景估计＆更新(Graphic image processing, mixed-Gaussian background image is estimated )

说明：  用matlab实现了FCM图像分割，分割效果较好。有说明(Matlab achieved using FCM image segmentation, segmentation better. Described)

说明：  计算图像边缘保护指数EPI，需要原始图像与处理后图像(To calculate the EPI, the original image and the processed image are needed)

sift角点检测及匹配，在不同尺度空间下的角点检测方法，很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)

用lbp实现纹理特征提取，并分类说明: 一共有三个m文件，一个是lbp.m, 存放主要的lbp算法， 一个是getmapping,用以做算法的辅助函数， 一个是lbptest.m,存放着测试代码。 这三个文件需要放到同一个文件夹，并在文件夹中添加相应的图片， 具体的图片名字见lbptest.m的代码，运行lbptest.m可以查看结果。代码最后给出效果图 这三个文件是最传统的LBP方法，有256种。(With lbp achieve texture feature extraction and classification Description: A total of three m files, one is lbp.m, store the main lbp algorithm, One is getmapping, helper functions for doing arithmetic, One is lbptest.m, kept the test code. These three documents need to put the same folder, and add the appropriate folder, pictures, See lbptest.m specific name of the picture of the code, run lbptest.m can view the results. Finally renderings code These three documents are the most traditional LBP method, there are 256 kinds.)

visionpro字符识别

PCNN实现降噪的不错 PCNN是很好的自动分割工具 PCNN是很好的自动分割工具(PCNN是很好的自动分割工具，)

polsarpro软件的使用说明，适合处理极化SAR图像。(polsarpro the software instructions for dealing with polarization SAR images.)