k_t指数

医学图像配准，医学图像2D_3D配准，基于vc++开发。(The registration of pre-operative volumetric datasets to intra-operative two-dimensional images provides an im- provedway of verifying patient positionandmedical instru- ment location. In applications from orthopedics to neuro- surgery, it has a great value in maintaining up-to-date in- formation about changes due to intervention. We propose a mutual information-based registration algorithm which es- tablishes the proper alignment via a stochastic gradient as- centstrategy. Ourmaincontributionliesinestimatingprob- ability density measures of image intensities with a sparse histogrammingmethodwhichcouldlead to potentialspeed- up over existing registration procedures and deriving the gradient estimates required by the maximization procedure. Experimental results are presented on fluoroscopy and CT datasets of a real skull, and on a CT-derived dataset of a real skull, a plastic skull and a plastic lumbar spine seg- ment.)

wu-manber算法纯c实现，多模匹配算法，效率比较高，喜欢的可以下载看看，已经调试，没有问题(wu-manber algorithm)

这是一个matlab环境下的关于图像频谱分析的源代码，内附图像。(This is a Matlab environment on the image spectrum analysis of source code, containing images.)

人脸识别matlab源代码，应用主分量分析（PCA）实现了人脸识别。(Face recognition matlab source code, application of principal component analysis (PCA) to achieve a face recognition.)

图像处理功能：求the MSE/SNR/PSNR and the quantized image( the MSE/SNR/PSNR and the quantized image)

说明：  很好的指纹识别系统 希望能帮到大家 好好加油(A very good fingerprint identification system. I hope it can help you)

特征点匹配时，采用构造KD-tree，用最优节点优先法寻找最佳匹配点(Matching feature points, the tectonic KD-tree, with the optimal node is preferred method to search for the optimal matching point)

模糊聚类分割主函数及demo，直接运行就行，当然要有图片，呵呵(Main functions and fuzzy clustering segmentation demo, run directly on the line, of course, have pictures, Oh)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)

基于otsu的自适应阀值canny边缘检测(adaptive canny edge detection based on otsu)