mat转二维数组存档

#include<iostream>
#include<fstream>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;
const double pi = 3.141592;
Mat image;


void transform（Mat &pic ,int row ,int col）
{

	//这一段程序实现：图像img -> ptr[][] -> 图像img2 的传递过程，即图像->二维数组->图像
	int i = 0;
	int j = 0;
	namedWindow("原图");
	imshow("原图", img);

	Mat img2 = Mat(row, col, CV_8UC1);//图像img2：row*col大小

	uchar **ptr = (uchar **)malloc(row*sizeof(uchar *));//二维数组ptr[][]
	for (i = 0; i < row; i++)
		ptr[i] = (uchar *)malloc(col*sizeof(uchar));

	uchar *ptmp = NULL;//这是关键的指针！！

	for (i = 0; i < row; i++)
	{
		ptmp = img2.ptr<uchar>(i);//指针指向img2的第i行
		for (j = 0; j < col; j++)
		{
			ptr[i][j] = img.at<uchar>(i, j);//img的矩阵数据传给二维数组ptr[][]
			ptmp[j] = ptr[i][j];//二维数组数据传给img2的第i行第j列
		}
	}
	namedWindow("新图");
	imshow("新图",img2);

	// 等待100000 ms后窗口自动关闭    
	waitKey(100000);


}

int main()
{
	//读取图像，图像为灰度图，单通道
	Mat image = imread("pic.png", CV_LOAD_IMAGE_GRAYSCALE);
	transform(image, image.rows, image.cols);

	//显示原图
	if (!image.empty())
		imshow("image", image);
	//计算A系数
	myDct(A);
	//转换成浮点数矩阵，进行dct变换
	image.convertTo(fimage, CV_32FC1);//将图片转化成浮点数矩阵，然后进行dct的变换----------

	imshow("压缩图", fimage);//dct变换后的图片
	imshow("还原图", image);
	waitKey(0);
	return 0;
}

uchar** transform(Mat &img, int row, int col)
{
	int i = 0, j = 0;
	

	uchar **ptr = (uchar **)malloc(row*sizeof(uchar *));//二维数组ptr[][]
	for (i = 0; i < row; i++)
		ptr[i] = (uchar *)malloc(col*sizeof(uchar));

	//新图的大小以及指向它的指针
	Mat img2 = Mat(row, col, CV_8UC1);//图像img2：row*col大小
	uchar *ptmp = NULL;//这是关键的指针！！

	for (i = 0; i < row; i++)
	{
		ptmp = img2.ptr<uchar>(i);//指针指向img2的第i行
		for (j = 0; j < col; j++)
		{
			ptr[i][j] = img.at<uchar>(i, j);//img的矩阵数据传给二维数组ptr[][]
			ptmp[j] = ptr[i][j];//二维数组数据传给img2的第i行第j列
		}
	}
//	namedWindow("新图");
//  imshow("新图", img2);

	// 等待100000 ms后窗口自动关闭    
	waitKey(100000);
	return ptr;
}

外部函数调用：

#include<iostream>
#include<fstream>
#include<opencv2/core/core.hpp>
#include<opencv2/highgui/highgui.hpp>

using namespace std;
using namespace cv;
const double pi = 3.141592;



void transform（Mat &pic, int row, int col）
{

	//这一段程序实现：图像img -> ptr[][] -> 图像img2 的传递过程，即图像->二维数组->图像
	int i = 0;
	int j = 0;
	namedWindow("原图");
	imshow("原图", img);

	Mat img2 = Mat(row, col, CV_8UC1);//图像img2：row*col大小

	uchar **ptr = (uchar **)malloc(row*sizeof(uchar *));//二维数组ptr[][]
	for (i = 0; i < row; i++)
		ptr[i] = (uchar *)malloc(col*sizeof(uchar));

	uchar *ptmp = NULL;//这是关键的指针！！

	for (i = 0; i < row; i++)
	{
		ptmp = img2.ptr<uchar>(i);//指针指向img2的第i行
		for (j = 0; j < col; j++)
		{
			ptr[i][j] = img.at<uchar>(i, j);//img的矩阵数据传给二维数组ptr[][]
			ptmp[j] = ptr[i][j];//二维数组数据传给img2的第i行第j列
		}
	}
	namedWindow("新图");
	imshow("新图", img2);

	// 等待100000 ms后窗口自动关闭    
	waitKey(100000);


}

int main()
{
	//读取图像，图像为灰度图，单通道
	Mat image = imread("pic.png", CV_LOAD_IMAGE_GRAYSCALE);
	transform(image, image.rows, image.cols);

	//显示原图
	if (!image.empty())
		imshow("image", image);
	//转换成浮点数矩阵，进行dct变换
	image.convertTo(fimage, CV_32FC1);//将图片转化成浮点数矩阵，然后进行dct的变换----------

	imshow("压缩图", fimage);//dct变换后的图片
	imshow("还原图", image);
	waitKey(0);
	return 0;
}

转自：https://blog.csdn.net/lqmiku/article/details/79110955

//2018.1.19_21:09 by Cooper Liu
//Questions? Contact me: [email protected]
//本程序为C++工程，编译环境需要配置openCV
#include <iostream>  
#include <opencv2/core/core.hpp>  
#include <opencv2/highgui/highgui.hpp>  
//#include<opencv2/opencv.hpp>//如果要包含所有库

using namespace cv;

void main()
{
    //这一段程序实现：图像img -> ptr[][] -> 图像img2 的传递过程，即图像->二维数组->图像
    int i = 0, j = 0;
    Mat img = imread("F:\\photoCollection\\flowergirl.png", 0);//读取图像img。0表示转换为灰度图像读入
    int row = img.rows;
    int col = img.cols;
    namedWindow("原图");
    imshow("原图", img);

    Mat img2 = Mat(row, col, CV_8UC1);//图像img2：row*col大小

    uchar **ptr = (uchar **)malloc(row*sizeof(uchar *));//二维数组ptr[][]
    for (i = 0; i < row; i++)
        ptr[i] = (uchar *)malloc(col*sizeof(uchar));

    uchar *ptmp = NULL;//这是关键的指针！！

    for (i = 0; i < row; i++)
    {
        ptmp = img2.ptr<uchar>(i);//指针指向img2的第i行
        for (j = 0; j < col; j++)
        {
            ptr[i][j] = img.at<uchar>(i, j);//img的矩阵数据传给二维数组ptr[][]
            ptmp[j] = ptr[i][j];//二维数组数据传给img2的第i行第j列
        }
    }
    namedWindow("新图");
    imshow("新图", img2);

    // 等待100000 ms后窗口自动关闭    
    waitKey(100000);
}

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AfrikaansAlbanianAmharicArabicArmenianAzerbaijaniBasqueBelarusianBengaliBosnianBulgarianCatalanCebuanoChichewaChinese (Simplified)Chinese (Traditional)CorsicanCroatianCzechDanishDutchEnglishEsperantoEstonianFilipinoFinnishFrenchFrisianGalicianGeorgianGermanGreekGujaratiHaitian CreoleHausaHawaiianHebrewHindiHmongHungarianIcelandicIgboIndonesianIrishItalianJapaneseJavaneseKannadaKazakhKhmerKoreanKurdishKyrgyzLaoLatinLatvianLithuanianLuxembourgishMacedonianMalagasyMalayMalayalamMalteseMaoriMarathiMongolianMyanmar (Burmese)NepaliNorwegianPashtoPersianPolishPortuguesePunjabiRomanianRussianSamoanScots GaelicSerbianSesothoShonaSindhiSinhalaSlovakSlovenianSomaliSpanishSundaneseSwahiliSwedishTajikTamilTeluguThaiTurkishUkrainianUrduUzbekVietnameseWelshXhosaYiddishYorubaZulu

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