图像处理

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.)

说明：  代码论文Active Contours Without Edges(code paper Active Contours Without Edges)

说明：  自由曲面光学透镜的图像变换面形测量系统与精度建模(Free-form optical lens image transformation shape measurement system with precision modeling)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

实现shift算法，进行精确的图像识别，可以抵抗各种旋转、平移、缩放等仿射变换的攻击(Realize shift algorithm, an accurate image recognition, you can resist all kinds of rotation, translation, scaling affine transformation attack)

遥感专业摄影测量方向相邻影像同名点匹配的程序，可交互界面，可人工选点(Professional Photography Program sensing images of the same name adjacent to the measuring direction point matching, interactive interface that can be manually selected point)

rgb to HSV，很有用，调试成功，可以应用(rgb to HSV，#include "stdafx.h" #include <iostream.h> void main(float R, float G, float B, float& H, float& S, float&V) { // r,g,b values are from 0 to 1 // h = [0,360], s = [0,1], v = [0,1] // if s == 0, then h =-1 (undefined) float min, max, delta,tmp tmp = R>G?G:R min = tmp>B?B:tmp tmp = R>G?R:G max = tmp>B?tmp:B V = max // v delta = max- min if( max != 0 ) S = delta/max // s else { // r = g = b = 0 // s = 0, v is undefined S = 0 H = 0 return } if (delta == 0){ H = 0 return } else if(R == max){ if (G >= B) H = (G- B)/delta // between yellow & magenta else H = (G- B)/delta+ 6 } else if( G == max ) H = 2+ ( B- R )/delta // between cyan & yellow else if (B == ma)

为GABOR小波的详细MATLAB实现代码，详细分析了该小波的各种性能()

用matlab语言实现图像的腐蚀和膨胀，不是用自带函数(Language with matlab image erosion and dilation, not with their own function)

指定图像部分，进行图片裁剪或者放单，类似于电商网站的图片放大镜(Specify the image part, cut or put out the picture, similar to the electricity supplier website picture magnifier)