ONSL0

说明：  这是MRI-CT融合示例code，编程语言为matlab。内含图像，注释清晰，代码完整，下载解压后可以直接运行。(This is an example code of MRI-CT fusion, and the programming language is matlab. The image is included, the annotation is clear, and the code is complete. After downloading and decompressing, it can run directly.)

lbg算法是一种经典的矢量量化算法，此源码为lbg算法的c语言实现。(lbg algorithm is a classic vector quantization algorithm, the algorithm lbg source for the C Language.)

关于图像配准的经典外文文献，影响因子很高(on the registration of foreign classic literature, high impact factor)

在进行图像显著性分析时，要通过PR曲线进行比较不同方法的好坏，这个源码可以实现此功能。(Significantly during image analysis, through PR curves comparing different methods is good or bad, this source can achieve this functionality.)

根据指定字符分割字符串，VC++精选编程源码，很好的参考。(According to the specified character segmentation character string, VC++ select programming source code, a good reference.)

matlab平台实现平移的亚像素配准，精度0.03像素(matlab platform translation sub pixel registration accuracy of 0.03 pixels)

本程序的细化算法要应用于含线条的黑白二值图像才可以看出细化效果。(This procedure should be applied to the thinning algorithm with two lines of black-and-white image before thinning effect can be seen.)

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.)

压缩感知CS——采用小波变换进行稀疏表示，高斯随机矩阵为观测矩阵，重构算法为ILRS算法，对256*256的lena图处理，比较原图和IRLS算法在不同采样比例(0.74、0.5、0.3)下的重构效果，并各运行50次，比较算法性能PSNR和每次的运行时间(Compressed sensing CS- using wavelet transform as sparse representation, Gaussian random matrix as the observation matrix and IRLS algorithm as the reconstruction algorithm. Compare lena figure and the reconstruction results using IRLS algorithm at different sampling ratio (0.74,0.50.3),then each runs 50 times, compare the performance of PSNR and each running time)

ImageMagick® is a software suite to create, edit, compose, or convert bitmap images. It can read and write images in a variety of formats (over 100) including DPX, EXR, GIF, JPEG, JPEG-2000, PDF, PhotoCD, PNG, Postscript, SVG, and TIFF. Use ImageMagick to resize, flip, mirror, rotate, distort, shear and transform images, adjust image colors, apply various special effects, or draw text, lines, polygons, ellipses and Bézier curves.