multiphase_improved

利用最大有效圆法或最大内切圆法提取掌纹掌脉图像的roi(Using maximum effective circle method or maximum inscribed circle method to extract palm print palm vein image ROI)

读取图片，分割出敢兴趣区域，用到同态滤波，形态学，连通域，以及hough圆检测等算法。(Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm)

说明：  ICA人脸识别算法实例matlab源码，已测试过，程序能运行，且识别率较高(ICA face recognition algorithm matlab source code examples have been tested, the program will be able to run, and a higher recognition rate)

基于规格化Hough变换的天波超视距雷达检测前跟踪算法(Hough transform based on the normalized horizon radar detection and tracking algorithms)

经典的张正友摄像机标定算法源码,实验图片及实验数据(Zhengyou Zhang classic camera calibration algorithm source code, experimental pictures and the experimental data)

论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。(The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering the covering effect, estimates the SFS algorithm effectively involved in all kinds of control parameters, and introduces brightness constraint, gray level gradient constraint and the integrability of constraints, calculate the surface height and surface vector, realize the three-dimensional reconstruction. Finally, points out the problems requiring attention is realized in Matlab. )

Harris角点检测程序。选定图像中某以区域，通过设置角点的最大个数和最小个数来设定检测阈值。(Harris corner detection process. A selection of images to the region by setting the maximum number of corners and the minimum number to set the detection threshold.)

matlab 直方图统计可以进行统计进行直方图的绘制(Matlab statistical histogram can be conducted for the drawing histogram)

图像相似度计算，利用hog特征，不变矩，包含canny因子计算 来计算两张图片的相似度。可以用来进行图片检索(Image similarity calculation, hog characteristics, invariant moments contain a canny factor to calculate the similarity of two images. Can be used for image retrieval)

说明：  matlab三维重建程序 完整的程序，入门相当不错，值得学习！(matlab program complete three-dimensional reconstruction process started quite well, it is worth learning!)