Opencv学习笔记与心得体会-2010版

Opencv学习笔记与心得体会-2010版Opencv学习笔记与心得体会-2010版 1. 函数命名规则:cvActionTargetMod(…) 2. 矩阵数据类型:CV_(S|U|F)C 3. 图像数据类型:IPL_DEPTH_(S|U|F) 4. 头文件:cv.h cvaux.h highgui.h cxcore.h 5. 点的表示: CvPoint p = cvPoint(int x, int y); CvPoint2D32f p = cvPoint2D32f(float x, float y); CvPoint3D32f p = cv...

Opencv学习笔记与心得体会 -2010版 1. 函数命名规则:cvActionTargetMod(…) 2. 矩阵数据类型:CV_(S|U|F)C 3. 图像数据类型:IPL_DEPTH_(S|U|F) 4. 头文件:cv.h cvaux.h highgui.h cxcore.h 5. 点的表示: CvPoint p = cvPoint(int x, int y); CvPoint2D32f p = cvPoint2D32f(float x, float y); CvPoint3D32f p = cvPoint2D32f(float x, float y, float z); 6. 长方形维数表示: CvSize r = cvSize(int width, int height); CvSize2D32f r = cvSize2D32f(float width, float height); 7. 有偏移量的长方形表示:CvRect r = cvRect(int x, int y, int width, int height); 8. 分配矩阵:CvMat* cvCreateMat(int rows, int cols, int type); 9. 释放矩阵:void cvReleaseMat(CvMat**); 10. 复制矩阵:CvMat* cvCloneMat(CvMat*); 11. 初始化矩阵: double a[] = {1,2,3,4,5,6,7,8,9,10,11,12}; CvMat Ma = cvMat(3, 4, CV_64FC1, a); 或者: CvMat Ma; cvInitMatHeader(&Ma, 3, 4, CV_64FC1, a); 12. 初始化单位矩阵: CvMat* M = cvCreateMat(4, 4, CV_32FC1); cvSetIdentity(M); 13. 直接访问矩阵元素: cvmSet(M, i, j, 2, 0); T = cvmGet(M, i, j); 14. 已知对齐方式的直接访问: CvMat* M = cvCreateMat(4, 4, CV_32FC1); int n = M->cols; float* data = M->data.fl; data[i*n+j] = 3.0; 15. 未知对齐方式的直接访问: CvMat* M = cvCreateMat(4, 4, CV_32FC1); int step = M->step/sizeof(float); float* data = M->data.fl; (data+i*step)[j] = 3.0; 16. 直接访问已初始化矩阵: double a[16]; CvMat Ma = cvMat(3, 4, CV_64FC1, a); a[i*4+j] = 2.0; 17. 矩阵和矩阵操作: CvMat *Ma, *Mb, *Mc; cvAdd(Ma, Mb, Mc); cvSub(Ma, Mb, Mc); cvMatMul(Ma, Mb, Mc); 18. 矩阵元素之间操作: CvMat *Ma, *Mb, *Mc; cvMul(Ma, Mb, Mc); cvDiv(Ma, Mb, Mc); cvAddS(Ma, cvScalar(-10.0), Mc); 19. 向量乘法操作: double va[] = {1,2,3}; double vb[] = {0,0,1}; double vc[3]; CvMat Va = cvMat(3, 1, CV_64FC1, va); CvMat Vb = cvMat(3, 1, CV_64FC1, vb); CvMat Vc = cvMat(3, 1, CV_64FC1, vc); double res = cvDotProduct(&Va, &Vb); //点乘 cvCrossProduct(&Va, &Vb, &Vc); //叉乘 20. 单个矩阵操作: CvMat *Ma, *Mb; cvTranspose(Ma, Mb); //转置 CvScalar t = cvTrace(Ma); //对角线和 double d = cvDet(Ma); //行列式 cvInvert(Ma, Mb); //求逆 21. 非齐次线性系统求解: CvMat *A = cvCreateMat(3, 3, CV_32FC1); CvMat *x = cvCreateMat(3, 1, CV_32FC1); CvMat *b = cvCreateMat(3, 1, CV_32FC1); cvSolve(&A, &b, &x); 22. 特征值(对称矩阵): CvMat *A = cvCreateMat(3, 3, CV_32FC1); CvMat *E = cvCreateMat(3, 3, CV_32FC1); //特征向量 CvMat *I = cvCreateMat(3, 1, CV_32FC1); //特征值 cvEigenVV(&A, &E, &I); 23. 奇异值分解操作: CvMat *A = cvCreateMat(3, 3, CV_32FC1); CvMat *U = cvCreateMat(3, 3, CV_32FC1); CvMat *D = cvCreateMat(3, 3, CV_32FC1); CvMat *V = cvCreateMat(3, 3, CV_32FC1); cvSVD(A, D, U, V, CV_SVD_U_T|CV_SVD_V_T); 24. 创建及定位窗口: cvNamedWindow(“win1”, CV_WINDOW_AUTOSIZE); cvMoveWindow(“win1”, 100, 100); 25. 加载图像: IplImage *img = 0; img = cvLoadImage(filename); if (!img) printf(“error!”); 26. 显示图像: cvShowImage(“win1”, img); 27. 关闭窗口: cvDestroyWindow(“win1”); 28. 缩放窗口: cvResizeWindow(“win1”, 100, 100); 29. 鼠标事件处理: P69 30. 键盘事件处理: int key; key = cvWaitKey(0); 31. 拖动条事件处理: 32. 分配图像: IplImage *img = cvCreateImage(CvSize size, int depth, int channels); 33. 释放图像: void cvReleaseImage(IplImage**); 34. 复制图像: IplImage *img2 = cvCloneImage(img1); 35. 设置或得到感兴趣区域ROI: void cvSetImageROI(IplImage *image, CvRect rect); void cvResetImageROI(IplImage *image); CvRect cvGetImageROI(const IplImage *image); 36. 设置或得到感兴趣通道COI: void cvSetImageCOI(IplImage *image, int coi); 37. 从文件读图像: img = cvLoadImage(filename, flag); flag>0时，3通道彩色图像; flag=0时，单通道灰色图像; flag<0时，有文件中图像通道数决定; 38. 向文件写图像: if(!cvSaveImage(outfilename, img)) printf(“error!”); 39. 间接访问图像元素:IplImage *img = cvCreateImage(cvSize(640,480), IPL_DEPTH_32F, 3); CvScalar s; s = cvGet2D(img, i, j); printf(“B=%f,G=%f,R=%f”,s.val[0],s.val[1],s.val[2]); s.val[0]=111;s.val[1]=111;s.val[2]=111; cvSet2D(img, i, j, s); 40. 直接访问图像元素:IplImage *img = cvCreateImage(cvSize(640,480), IPL_DEPTH_32F, 3); ((uchar*)(img->imageData+i*img->widthStep))[j*img->nChannel+0]=111; ((uchar*)(img->imageData+i*img->widthStep))[j*img->nChannel+1]=112; ((uchar*)(img->imageData+i*img->widthStep))[j*img->nChannel+2]=113; 41. 指针访问: IplImage *img = cvCreateImage(cvSize(640,480), IPL_DEPTH_32F, 3); int height = img->height; int width = img->width; int step = img->widthStep/sizeof(uchar); int channels = img->nChannels; uchar *data = (uchar *)img->imageData; data[i*step+j*channels+k] = 111; 42. 用C++外壳直接访问:P76 43. 灰度图像转换为彩色图像: cvConvertImage(src, dst, flags=0); 44. 彩色图像转换为灰度图像: cvCvtColor(cimg, gimg, CV_BGR2GRAY); 45. 彩色空间转换: cvCvtColor(src, dst, code); code=CV_2,,=RGB,BGR,GRAY,HSV,YCrCb,XYZ,Lab,Luv,HLS 46. 画矩形: cvRectangle(img, cvPoint(100,100), cvPoint(200,200), cvScalar(255,0,0), 1); 47. 画圆: cvCircle(img, cvPoint(100,100), 20, cvScalar(0,255,0), 1); 48. 画线段: cvLine(img, cvPoint(100,100), cvPoint(200,200), cvScalar(0,255,0), 1); 49. 画多边形: CvPoint curve1[] = {10,10, 10,100, 100,100, 100,10}; CvPoint curve2[] = {30,30, 30,130, 130,130, 150,10}; CvPoint* curveArr[2] = {curve1, curve2}; int nCurvePts[2] = {4, 5}; int nCurves = 2; int isCurveClosed = 1; int lineWidth = 1; cvPolyLine(img, curveArr, nCurvePts, nCurves, isCurveClosed, cvScalar(0,255,255), lineWigth); 50. 填充多边形:cvFillPoly(img, curveArr, nCurvePts, nCurves, cvScalar(0,255,255)); 51. 写字: CvFont font; double hScale = 1.0; double vScale = 1.0; int lineWidth = 1; cvInitFont(&font, CV_FONT_HERSHEY_SIMPLEX|CV_FONT_ITALIC, hScale, vScale, 0, lineWidth); cvPutText(img, “My comment”, cvPoint(200,400), &font, cvScalar(255,255,0)); 52. typedef struct CvPoint { int x; int y; }CvPoint; inline CvPoint cvPoint(int x, int y); inline CvPoint cvPointFrom32f(CvPoint2D32f point); 53. typedef struct CvPoint2D32f { float x; float y; }CvPoint2D32f; inline CvPoint2D32f cvPoint2D32f(double x, double y); inline CvPoint2D32f cvPointTo32f(CvPoint point); 54. typedef struct CvPoint3D32f { float x; float y; float z; }CvPoint3D32f; inline CvPoint3D32f cvPoint3D32f(double x, double y, double z); 55. typedef struct CvSize { int width; int height; }CvSize; inline CvSize cvSize(int width, int height); 56. typedef struct CvSize2D32f { float width; float height; }CvSize2D32f; inline CvSize2D32f cvSize2D32f(double width, double height); 57. typedef struct CvRect { int x; int y; int width; int height; }CvRect; inline CvRect cvRect(int x, int y, int width, int height); 58. typedef struct CvScalar { double val[4]; }CvScalar; inline CvScalar cvScalar(double val0, double val1, double val2, double val3); inline CvScalar cvScalarAll(double val0123); inline CvScalar cvRealScalar(double val0); 59. typedef struct CvTermCriteria { int type; int max_iter; double epsilon; }CvTermCriteria; inline CvTermCriteria cvTermCriteria (int type, int max_iter, double epsilon); CvTermCriteria cvCheckTermCriteria(CvTermCriteria criteria, double default_eps, int default_max_iters); 60. typedef struct CvMat { int type; int step; int *refcount; union { uchar *ptr; short *s; int *I; float *fl; double *db; }data; #ifdef __cplusplus union { int rows; int height; }; union { int cols; int width; }; #else int rows int cols; #endif }CvMat; 61. typedef struct CvMatND { int type; int dims; int *refcount; union { uchar *ptr; short *s; int *I; float *fl; double *db; }data; struct { int size; int step; }dim[CV_MAX_DIM]; }CvMatND; 62. typedef struct CvSparseMat { int type; int dims; int *refcount; struct CvSet* heap; void **hashtable; int hashsize; int total; int valoffset; int idxoffset; int size[CV_MAX_DIM]; }CvSparseMat; 63. typedef struct IplImage { int nSize; int ID; int nChannels; int alphaChannel; int depth; char colorMode[4]; char channelSeq[4]; int dataOrder; int origin; int align; int width; int height; struct _IplROI *roi; struct _IplImage *maskROI; void *imageld; struct _IplTileInfo *tileInfo; int imageSize; char *imageData; int widthStep; int BorderMode[4]; int BorderConst[4]; char *imageDataOrigin; }IplImage; 64. typedef void CvArr; 65. 创建图像头并分配数据:IplImage *img = cvCreateImage(CvSize size, int depth, int channels); 等于: header = cvCreateImageHeader(size, depth, channels); cvCreateData(header); 66. 分配初始化图象头: IplImage* cvCreateImageHeader(CvSize size, int depth, int channels); 67. 释放图像头: void cvReleaseImageHeader(IplImage** image); 68. 释放图像头和数据: void cvReleaseImage(IplImage** image); 69. 初始化图像头: IplImage* cvInitImageHeader(IplImage* image, CvSize size,int depth, int channels, int origin=0, int align=4); 70. 完整复制图像: IplImage* cvCloneImage(const IplImage* image); 71. 设置感兴趣通道: void cvSetImageCOI(IplImage* image, int coi); 72. 返回感兴趣通道: int cvGetImageCOI(const IplImage* image); 73. 设置感兴趣区域: void cvSetImageROI(IplImage* image, CvRect rect); 74. 返回感兴趣区域: CvRect cvGetImageROI(const IplImage* image); 75. 释放感兴趣区域: void cvResetImageROI(IplImage* image); 76. CvMat* cvCreateMat(int rows, int cols, int type); 77. CvMat* cvCreateMatHeader(int rows, int cols, int type); 78. void cvReleaseMat(CvMat** mat); 79. CvMat* InitMatHeader(CvMat* mat, int rows, int cols, int type, void* data=NULL, int step=CV_AUTOSTEP); 80. CvMat cvMat((int rows, int cols, int type, void* data=NULL); 81. CvMat* cvCloneMat(const CvMat* mat); 82. CvMatND* cvCreateMatND(int rows, const int cols, int type); 83. CvMatND* cvCreateMatNDHeader(int rows, int cols, int type); 84. void cvReleaseMatND(CvMatND** mat); 85. CvMat* InitMatNDHeader(CvMatnND* mat, int dims, const int* sizes, int type, void* data=NULL); 86. CvMat* cvCloneMatND(const CvMatND* mat); 87. 数组数据引用计数减一:void cvDecRefData(CvArr* arr); 88. 数组数据引用计数加一:int cvIncRefData(CvArr* arr); 89. 分配数据: void cvCreateData(CvArr* arr); 90. 释放数据: void cvReleaseData(CvArr* arr); 91. 设置数据: void cvSetData(CvArr* arr, void* data, int step);

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Opencv学习笔记与心得体会-2010版

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