1. CvMat* M = cvCreateMat(4,4,CV_32FC1); 2. cvReleaseMat(&M); 1. 2. 复制矩阵: [cpp]view plaincopyprint? 1. CvMat* M1 = cvCreateMat(4,4,CV_32FC1); 2. CvMat* M2; 3. M2=cvCloneMat(M1); 1. 2. 3. 初始化矩阵: [cpp]view plaincopyprint? 1. double 2. CvMat Ma=cvMa...
bool copyData = false) 和 Mat::Mat(const IplImage* img, bool copyData = false).如果copyData的值是false,那么Mat将与IplImage或CvMat共用同一矩阵数据;如果copyData的值是true,Mat会新申请内存空间,然后将IplImage或CvMat的数据复制到Mat的数据区。
() { Mat M(640, 480, CV_8UC3, Scalar(0, 0, 255)); //cout M = endl M endl; //system(pause); imshow(red, M); waitKey; } 这段代码中,就定义了一个Mat类的M对象,初始化为 640*480像素,每个像素为BGR的一个一个1*3的 , 中的数据类型为8位无符号整型,且为3通道,就是 BGR三种...
可以设置alpha 从0到1区间取值,beta = 1 - alpha,r为0,将前面公式转换为标准alpha融合公式: dstx,y= alpha * src1x,y+(1 - alpha) * src2x,y Mat src1=[cvprocess cvMatFromUIImage:[UIImage imageNamed:@"001.png"]];Mat src2=[cvprocess cvMatFromUIImage:[UIImage imageNamed:@"0001.png"]...
78、_kalman(int x,int xv,int y,int yv; CvKalman* cvkalman; CvMat* state; CvMat* process_noise; CvMat* measurement; const CvMat* prediction; CvPoint2D32f get_predict(float x, float y; kalman(int 79、 x=0,int xv=0,int y=0,int yv=0; /virtual kalman(;#endif / !defined(AFX...
int clusterNum = cvRandInt(&rng)%MAX_CLUSTERS + 2; //至少有两类25. int sampleNum = cvRandInt(&rng)%1000 + 100;//至少 100 个点26. int feaNum=2;27. CvMat* sampleMat = cvCreateMat( sampleNum, 1, CV_32FC2 );28.29. /* generate random sample from multigaussian distribution */30...
摘要:CalcBackProject 计算反向投影 void cvCalcBackProject( IplImage** image, CvArr*back_project, const CvHistogram* hist); image 输入图像 (也可以传递 CvMat** ). back_p... 阅读全文 posted @ 2015-06-04 09:26 kelseyling 阅读(396) 评论(0) 推荐(0) 编辑 CAMSHIFT...
IplImage、二维图像数据矩阵结构CvMat、四通 道数据结构CvScalar、点结构CvPoint、矩形框大 小结构CvSize、专门处理矩阵数据结构的接口 CvArr。CvArr仅作为函数定义的参数使用,表明函 数可以接受不同类型的矩阵作为参数。 2015-1-17 华中科技大学计算机学院C语言课程组 36 ...
42、oise;CvMat*measurement;constCvMat*prediction;CvPoint2D32fget_predict(floatx,floaty);kalman(intx=0,intxv=0,inty=0,intyv=0);/virtualkalman();#endif/!defined(AFX_KALMAN_H_ED3D740F_01D2_4616_8B74_8BF57636F2c0_INCLUDED_)kalman.cpp#includekalman.h#include/*testerdeprintertouteslesvaleu...
{ public: void init_kalman(int x,int xv,int y,int yv); CvKalman*cvkalman; CvMat* state; CvMat* process_noise; CvMat* measurement; const CvMat* prediction; CvPoint2D32f get_predict(float x,float y); kalman(int x 0,int xv 0,int y 0,int yv 0); //virtual ~kalman(); }; #...