qq_42286035的博客

enum ThresholdType{ THRESHOLD_LIGHT, //明 THRESHOLD_DARK, //暗 THRESHOLD_EQUAL, //等于 THRESHOLD_NOT_EQUAL //不等于};void var_threshold(Mat src, Mat mask, Mat &dst, int maskW, int maskH, float StdDevScale, .

//功能：求图中像素值为255的斑块面积和重心坐标//参数：// src：输入图像// area：图中像素值为255的像素个数// center：斑块的重心坐标//返回值：无void area_center(Mat src, int &area, Point2f &center){ int pixelsCount = src.rows * src.cols; area = 0; center = Point2f(0, 0); float c

enum SelectShapeType{ SELECT_AREA, //选中区域面积 SELECT_RECTANGULARITY, //选中区域矩形度 SELECT_WIDTH, //选中区域宽度（平行于坐标轴） SELECT_HEIGHT, //选中区域高度（平行于坐标轴） SELECT_ROW, //选中区域中心行索引 SELECT_COLUMN, //选中区域中心列索引 SELECT_RECT2_LEN1, //选中区域最小外接矩形的一半长度 SELECT.

cv::Mat img = cv::imread("2.bmp"); cv::Mat m1, m2, dst; cv::threshold(img, m1, 70, 255, cv::THRESH_BINARY); cv::threshold(img, m2, 240, 255, cv::THRESH_BINARY_INV); cv::bitwise_and(m1, m2, dst);

//构建一个QT的QRect对象QRect qrect(0, 0, 100, 100);qDebug()<<"qrect.bottomRight:"<<qrect.bottomRight();//构建一个opencv的cv::Rect对象cv::Rect rect(0, 0, 100, 100);qDebug()<<"rect.bottomRight:"<<rect.br().x<<","<< rect.br().y;执

//char 转换成 QStringchar c = 'a';QString s = QString(c);//QString 转换成 charQString s = "a";char c = s.toLatin1.data();//QByteArray 转换成 char *char *c;QByteArray byte;c = byte.data();//char * 转换成 QByteArraychar *c;QByteArray byte;byte = QByteAr