欢迎您访问程序员文章站本站旨在为大家提供分享程序员计算机编程知识!
您现在的位置是: 首页

OpenCV学习笔记------基本数据结构

程序员文章站 2022-07-12 15:48:59
...

开发环境配置参考:vs2017+OpenCV~

//图像数据结构实例
#include"opencv2/core/core.hpp"
#include<iostream>

using namespace cv;
using namespace std;


int main(int, char**)
{
	//用构造函数建立数据  2*2的矩阵  里面的元素为8位  U表示(unsigned)为无符号数  C表示(channe)通道数有3个
	Mat M(2,2,CV_8UC3,Scalar(0, 0, 255));
	cout << "M = " << endl << " " << M << endl;


	//用create函数建立数据
	M.create(2, 2, CV_8UC(2));
	cout << "M = " << endl << " " << M << endl;



	//建立多维矩阵   无法用<<输出
	int sz[3] = { 2, 2, 2 };
	Mat L(3, sz, CV_8UC(1), Scalar::all(0));



	//用MATLAB风格的眼建立数据
	Mat E = Mat::eye(3, 3, CV_64F);
	cout << "E = " << endl << " " << E << endl;


	//数据都是1
	Mat O = Mat::ones(2, 2, CV_32F);
	cout << "O = " << endl << " " << O << endl;


	//数据都是0
	Mat Z= Mat::zeros(2, 2, CV_8UC1);
	cout << "Z = " << endl << " " << Z << endl;


	//建立3*3双精度矩阵,值由<<输入
	Mat C = (Mat_<double>(3, 3) << 0, -1, 0, -1, 5, -1, 0, -1, 0);
	cout << "C = " << endl << " " << C << endl;


	//复制第一行数据
	Mat RowClone = C.row(0).clone();
	cout << "RowClone = " << endl << " " << RowClone << endl;


	//以随机数值填入矩阵内
	Mat R = Mat(3, 2, CV_8UC3);
	randu(R, Scalar::all(0),Scalar::all(255));

	//展示各种输出格式选项
	cout << "R (default) = " << endl << R << endl;
	cout << "R (python)  = " << endl << format(R, "python") << endl;
	cout << "R (numpy)   = " << endl << format(R, "numpy") << endl;
	cout << "R(csv)      = " << endl << format(R, "csv") << endl;
	cout << "R(C)        = " << endl << format(R, "C") << endl;

	//图像中二维的点
	Point2f P(5,1);
	cout << "Point (2D)" << P << endl;
	
	//图像中三维的点
	Point2f P3f(5,1);
	cout << "Point(3D)" << P3f << endl;

	vector<float> v;
	v.push_back((float) CV_PI);
	v.push_back(2);
	v.push_back(3.01f);

	cout << "浮点向量矩阵 = " << Mat(v) << endl << endl;
	
	vector<Point2f> vPoints(5);
	for (size_t i = 0; i < vPoints.size(); ++i)
		vPoints[i] = Point2f((float)(i * 5), (float)(i % 7));
	cout << "二维图点向量 = " << vPoints << endl;

	getchar();
	return 0;
}
相关标签: vs2017 OpenCV