openCV - 4. 图像操作

读写图像、读写像素、修改像素值

读写图像

• imread 可以指定加载为灰度或者RGB图像
• Imwrite 保存图像文件，类型由扩展名决定

读写像素

• 读一个GRAY像素点的像素值（CV_8UC1）

  Scalar intensity = img.at(y, x); 
  或者
  Scalar intensity = img.at(Point(x, y));
  

• 读一个RGB像素点的像素值

  Vec3f intensity = img.at(y, x); 
  float blue = intensity.val[0]; 
  float green = intensity.val[1]; 
  float red = intensity.val[2];
  

修改像素值

// 灰度图像
img.at(y, x) = 128;

// RGB三通道图像
img.at(y,x)[0]=128; // blue
img.at(y,x)[1]=128; // green
img.at(y,x)[2]=128; // red

// 空白图像赋值
img = Scalar(0);

// ROI选择
Rect r(10, 10, 100, 100); 
Mat smallImg = img(r);

Vec3b与Vec3F

• Vec3b对应三通道的顺序是blue、green、red的uchar类型数据。
• Vec3f对应三通道的float类型数据
• 把CV_8UC1转换到CV32F1实现如下：src.convertTo(dst, CV_32F);

代码演示

#include  
#include  
#include 
#include 

using namespace cv;
using namespace std;

int main(int argc, char** args) {
	Mat image = imread("D:/test.jpg", IMREAD_COLOR);
	if (image.empty()) {
	cout << "could not find the image resource..." << std::endl;
	return -1;
}

	int height = image.rows;
	int width = image.cols;
	int channels = image.channels();
	printf("height=%d width=%d channels=%d", height, width, channels);
  
	for (int row = 0; row < height; row++) {
       for (int col = 0; col < width; col++) {
                if (channels == 3) {
                         image.at(row, col)[0] = 0; // blue
                         image.at(row, col)[1] = 0; // green
                }
         }
	}

	namedWindow("My Image", CV_WINDOW_AUTOSIZE);
	imshow("My Image", image);
	waitKey(0);
	return 0;
}