bianyuantiqu

在GDAL库下，采用主成分变换实现多光谱影像与全色高分辨影像的融合。(Under the GDAL library, the principal component transformation is used to fuse multispectral images with panchromatic high resolution images.)

编程实现LoG或Sobel算子，并利用该算子提取给定图像中的边缘；全局最优阀值和自适应阀值分割的工作原理，编程实现阀值分割算法。 (Programming LoG or Sobel operator, and using the edge of the operator to extract a given image global optimal threshold and adaptive threshold segmentation of the working principle of programming to achieve a threshold segmentation algorithm.)

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.)

经典的图切算法NormalizedCuts.将图论应用到图像分割上，可以限定分割块数，有效分割图像。运行：demoNcutImage.m，即可看到效果。读取的图像名称和块数，可在程序中修改。(classic NormalizedCuts MAP algorithm. On the map will be applied to image segmentation, Segmentation can block limited number of effective segmentation image. Operation : demoNcutImage.m can see results. Read the name and image of a few blocks, the procedure can be modified.)

提取糖尿病视网膜病变眼底图像上硬性渗出。将彩色图像转为灰度图，对灰度图进行形态学处理、去背景、阈值分割，最终将原图上的硬性渗出区域用绿色标记出来。(this word is to extrac the hard exudates on diabetic retinopathy fundus image. The color image to grayscale on grayscale morphological processing to the background, threshold segmentation, ultimately on the original hard exudates area marked in green.)

自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢(Own implementation of sift feature extraction matlab code to calculate feature descriptors for image matching, but a bit slow)

图像压缩相关代码，基于小波域的矢量量化算法实现图像编码功能(Image compression code image coding, wavelet-based vector quantization algorithm)

史上最快人脸检测系统（超越OpenCV）

在图片上进行热点编辑，可进行区域的连接设置(Hotspot on the image editor, in the area can be connection Settings)

并行磁共振成算法GRAPPA，希望对大家有帮助，内有K空间数据。(Generalized Autocalibrating Partially Parallel Acquisitions (GRAPPA))