在OpenCV中實現特效之浮雕，雕刻和褶皺

下面代碼的基礎是對圖像像素的訪問。實現浮雕和雕刻的代碼是統一的，如下

1. #include <cv.h>
2. #include <highgui.h>
3. #pragma comment( lib, "cv.lib" )
4. #pragma comment( lib, "cxcore.lib" )
5. #pragma comment( lib, "highgui.lib" )
6. int main()
7. {
8. IplImage *org=cvLoadImage("1.jpg",1);
9. IplImage *image=cvCloneImage(org);
10. int width=image->width;
11. int height=image->height;
12. int step=image->widthStep;
13. int channel=image->nChannels;
14. uchar* data=(uchar *)image->imageData;
15. for(int i=0;i<width-1;i++)
16. {
17. for(int j=0;j<height-1;j++)
18. {
19. for(int k=0;k<channel;k++)
20. {
21. int temp = data[(j+1)*step+(i+1)*channel+k]-data[j*step+i*channel+k]+128;//浮雕
22. //int temp = data[j*step+i*channel+k]-data[(j+1)*step+(i+1)*channel+k]+128;//雕刻
23. if(temp>255)
24. {
25. data[j*step+i*channel+k]=255;
26. }
27. else if(temp<0)
28. {
29. data[j*step+i*channel+k]=0;
30. }
31. else
32. {
33. data[j*step+i*channel+k]=temp;
34. }
35. }
36. }
37. }
38. cvNamedWindow("original",1);
39. cvShowImage("original",org);
40. cvNamedWindow("image",1);
41. cvShowImage("image",image);
42. cvWaitKey(0);
43. cvDestroyAllWindows();
44. cvReleaseImage(&image);
45. cvReleaseImage(&org);
46. return 0;
47. }

原圖為

浮雕效果圖如下

雕刻效果圖如下

下面是實現圖像褶皺的代碼，效果不是太好，結構過渡不平滑，以後再改進一下。希望能做到波浪化。

1. #include <cv.h>
2. #include <highgui.h>
3. #pragma comment( lib, "cv.lib" )
4. #pragma comment( lib, "cxcore.lib" )
5. #pragma comment( lib, "highgui.lib" )
6. int main()
7. {
8. IplImage *org=cvLoadImage("lena.jpg",1);
9. IplImage *image=cvCloneImage(org);
10. int width=image->width;
11. int height=image->height;
12. int step=image->widthStep;
13. int channel=image->nChannels;
14. uchar* data=(uchar *)image->imageData;
15. int sign=-1;
16. for(int i=0;i<height;i++)
17. {
18. int cycle=10;
19. int margin=(i%cycle);
20. if((i/cycle)%2==0)
21. {
22. sign=-1;
23. }
24. else
25. {
26. sign=1;
27. }
28. if(sign==-1)
29. {
30. margin=cycle-margin;
31. for(int j=0;j<width-margin;j++)
32. {
33. for(int k=0;k<channel;k++)
34. {
35. data[i*step+j*channel+k]=data[i*step+(j+margin)*channel+k];
36. }
37. }
38. }
39. else if(sign==1)
40. {
41. for(int j=0;j<width-margin;j++)
42. {
43. for(int k=0;k<channel;k++)
44. {
45. data[i*step+j*channel+k]=data[i*step+(j+margin)*channel+k];
46. }
47. }
48. }
49. }
50. cvNamedWindow("original",1);
51. cvShowImage("original",org);
52. cvNamedWindow("image",1);
53. cvShowImage("image",image);
54. cvSaveImage("image.jpg",image);
55. cvWaitKey(0);
56. cvDestroyAllWindows();
57. cvReleaseImage(&image);
58. cvReleaseImage(&org);
59. return 0;
60. }

測試圖是標准的lena圖，效果圖如下