opencv_calib3d249d.lib 
opencv_contrib249d.lib 
opencv_core249d.lib 
opencv_features2d249d.lib 
opencv_flann249d.lib 
opencv_calib3d249.lib 
opencv_contrib249.lib 
opencv_core249.lib 
opencv_features2d249.lib 
opencv_flann249.lib 
opencv_gpu249.lib 
opencv_highgui249.lib
opencv_imgproc249.lib 
opencv_legacy249.lib 
opencv_ml249.lib 
opencv_nonfree249.lib 
opencv_objdetect249.lib 
opencv_photo249.lib 
opencv_stitching249.lib 
opencv_ts249.lib 
opencv_video249.lib 
opencv_videostab249.lib 
opencv_gpu249d.lib 
opencv_highgui249d.lib 
opencv_imgproc249d.lib 
opencv_legacy249d.lib 
opencv_ml249d.lib 
opencv_nonfree249d.lib 
opencv_objdetect249d.lib 
opencv_photo249d.lib 
opencv_stitching249d.lib 
opencv_ts249d.lib 
opencv_video249d.lib 
opencv_videostab249d.lib

 1 #include <cv.h>
 2 #include <highgui.h>
 3 #include <cxcore.h>
 4 
 5 IplImage* fractal;
 6 IplImage* fcopy;//用来画矩形
 7 int width = 1280;//图像宽和高
 8 int height = 720;
 9 double XMax = 2.5;//复平面的最大坐标
10 double XMin = -2.5;
11 double YMax = 2.5;
12 double YMin = -2.5;
13 
14 #define MAX_COLOR 256//用来记录配色
15 int B[MAX_COLOR];
16 int G[MAX_COLOR];
17 int R[MAX_COLOR];
18 
19 struct Complex//复数
20 {
21     double real;
22     double img;
23 };
24 
25 //初始化图片彩色像素库
26 void initColor()//虽然写的是BGR，但是这里是当作HSV来初始化的，图片绘制完成后转BGR
27 {
28     for (int i = 0; i < MAX_COLOR; i++)
29     {
30         B[i] = i * 4 % 256;
31         G[i] = 0.7 * 255.0;
32         R[i] = 255.0 * (1.0 - i / 255.0 * i / 255.0 / 1.2);
33     }
34 }
35 //绘制分形图
36 void drawPic()
37 {
38     double deltaX = (XMax - XMin) / width;
39     double deltaY = (YMax - YMin) / height;
40     int max_iterations = 256;//最大迭代次数
41     double max_size = 4.0;
42     for (int row = 0; row < height; row++)
43     {
44         for (int col = 0; col < width; col++)
45         {
46             int color = 0;
47             Complex c, z;
48             //z.real = 0;//这里是Mandelbrot集，下面被注释掉的是Julia集
49             //z.img = 0;
50             //c.real = XMin + col * deltaX;
51             //c.img = YMin + row * deltaY;
52             z.real = XMin + col * deltaX;
53             z.img = YMin + row * deltaY;
54             c.real = -0.8;
55             c.img = 0.156;
56 
57             while ((color < max_iterations) && ((z.img * z.img + z.real * z.real) < max_size))
58             {
59                 double tmp = z.real * z.real - z.img * z.img + c.real;
60                 z.img = z.img * z.real + z.real * z.img + c.img;
61                 z.real = tmp;
62                 color++;
63             }
64             color %= MAX_COLOR;
65             fractal->imageData[row * fractal->widthStep + 3 * col] = B[color];
66             fractal->imageData[row * fractal->widthStep + 3 * col + 1] = G[color];
67             fractal->imageData[row * fractal->widthStep + 3 * col + 2] = R[color];
68         }
69     }
70     cvCvtColor(fractal, fractal, CV_HSV2BGR);//将HSV空间转换为BGR，方便显示
71     cvShowImage("Fractal", fractal);
72     cvWaitKey(0);
73 }
74 //主函数
75 int main()
76 {
77     cvNamedWindow("Fractal", 1);
78     fractal = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 3);
79     fcopy = cvCreateImage(cvSize(width, height), IPL_DEPTH_8U, 3);
80     initColor();
81     drawPic();
82     cvReleaseImage(&fractal);
83     cvReleaseImage(&fcopy);
84     cvDestroyWindow("Fractal");
85     return 0;
86 }