gmkl

基于霍夫变换开发一种较通用的快速圆检测方法，并将之应用到虹膜图象的检测中，完成对虹膜内、外边缘的定位。(Hough transform based on the development of a more general-purpose fast circle detection methods, and to apply it to the detection of iris images, the completion of the iris inner and outer edge of the positioning.)

老外写的程序，可对三角形进行渲染，有详细的算法介绍。非常棒(A good Triangle Renderer Project，with detailed introduction.)

计算机图形学基础算法z-buffer， 实现隐藏面消除(Computer graphics based algorithm z-buffer, to achieve hidden surface removal)

说明：  通过matlab，可以快速得到图像的信噪比，峰值信噪比等。里面也有一些解释(Through MATLAB, the signal-to-noise ratio and peak signal-to-noise ratio of image can be obtained quickly. There are also some explanations)

说明：  几种图像融合评价指标，AG,EN,FMI,MI,Qab,Qw,SF,SSIM，即平均梯度AG、信息熵EN、特征互信息FMI、互信息MI、边缘信息保持量Qab、加权融合质量评价因子Qw、空间频率SF和相似性指数SSIM。能较好的描述图像融合结果，稳定性较好。(Several evaluation indexes of image fusion, Ag, en, FMI, MI, qAB, QW, SF, SSIM, namely average gradient AG, information entropy En, feature mutual information FMI, mutual information MI, edge information retention qAB, weighted fusion quality evaluation factor QW, spatial frequency SF and similarity index SSIM. It can describe the result of image fusion well and has good stability.)

说明：  双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))

CT重建图像时，先用BM3D滤波，然后运用经典的非局部平均去噪，效果很好。。(CT reconstruction image, the first with BM3D filter, and then use the classical non-local average denoising, very good. .)

图像拼接，利用SIFT算法提取点特征，并进行点匹配，解算单应性矩阵，根据结算出的单应性矩阵对图像进行仿射变换，最后进行拼接，程序中的备注很详细，各位感兴趣的同志可以下载看看。(Image mosaic using SIFT feature point extraction algorithm, and point matching, homography matrix solver, based on the settlement of the homography image affine transformation, and finally stitching, very detailed notes in the program, you sense Interested comrades can be downloaded.)

提取sift特征，通过K均值聚类形成特征包，进行图像检索。(SIFT features are extracted and image packets are retrieved through K mean clustering.)

说明：  ISAR成像例程，对Yak42飞机数据经过包络对齐和相位校正后进行成像。(The ISAR imaging routine images the Yak42 aircraft data after envelope alignment and phase correction.)