1 #include<opencv2/opencv.hpp>
2 #include<iostream>
3 #include<cassert>
4 #include<vector>
5 #include<stdio.h>
6 #include <sys/time.h>
7
8 using namespace cv;
9 using namespace std;
10
11 int main(int argc, char** argv)
12 {
13 Mat srcImage=imread(argv[1], CV_LOAD_IMAGE_COLOR);
14 printf("srcImage-data address:%p\n", srcImage.data);
15 Mat m = srcImage.clone();
16 printf("m-data address:%p\n", m.data);
17 cout << "m.depth:" << m.depth() << endl;
18 cout << "m.type:" << m.type() << "-" << CV_8UC3 << endl;
19
20 Mat m_64;
21 m.convertTo(m_64, CV_64FC3);
22 printf("m_64-data address:%p\n", m_64.data);
23 cout << "m_64.depth:" << m_64.depth() << endl;
24 cout << "m_64.type:" << m_64.type() <<"-" << CV_64FC3 << endl;
25
26 Mat m_8;
27 m_64.convertTo(m_8, CV_8UC3);
28 printf("m_8-data address:%p\n", m_8.data);
29 cout << "m_8.depth:" << m_8.depth() << endl;
30 cout << "m_8.type:" << m_8.type() <<"-" << CV_8UC3 << endl;
31
32 //cout << m_64 << endl;
33 cout << m_8 << endl;
34
35
36 //result：convertTo转换data会存储在新的地方
37 //srcImage-data address:0x7fa6ac1bb020
38 //m-data address:0x7fa6ac0fa020
39 //m.depth:0
40 //m.type:16-16
41 //m_64-data address:0x7fa69dcba020
42 //m_64.depth:6
43 //m_64.type:22-22
44 //m_8-data address:0x7fa69dbf9020
45 //m_8.depth:0
46 //m_8.type:16-16
47
48 vector<Mat> channels;
49 Mat imageBlue,imageGreen,imageRed;
50 Mat mergeImage;
51
52 split(m, channels);
53 imageBlue = channels.at(0);
54
55 for (int i = 0; i < imageBlue.rows; i++)
56 for (int j = 0; j < imageBlue.cols; j++)
57 {
58 imageBlue.at<uchar>(i, j) = i;
59 }
60
61 imageGreen = channels.at(1);
62 imageRed = channels.at(2);
63 merge(channels, m);
64
65 //result:67 //m-data address:0x7f8058621020
68
69 //cout << srcImage << endl;
70 //cout << m << endl;
71 //cout << mergeImage << endl;
72 cout << endl;
73
74 return 0;
75 }
