Opencv-图像像素的逻辑操作

知识点

像素操作之逻辑操作

• bitwise_and：逻辑与
• bitwise_xor：逻辑异或
• bitwise_or：逻辑或
  上面三个类似，都是针对两张图像的位操作
  

python代码

import cv2 as cv
import numpy as np

# create image one
src1 = np.zeros(shape=[400, 400, 3], dtype=np.uint8)
src1[100:200, 100:200, 1] = 255
src1[100:200, 100:200, 2] = 255
cv.imshow("input1", src1)
# create image two
src2 = np.zeros(shape=[400, 400, 3], dtype=np.uint8)
src2[150:250, 150:250, 2] = 255
cv.imshow("input2", src2)
dst1 = cv.bitwise_and(src1, src2)
dst2 = cv.bitwise_xor(src1, src2)
dst3 = cv.bitwise_or(src1, src2)
cv.imshow("dst1", dst1)
cv.imshow("dst2", dst2)
cv.imshow("dst3", dst3)
cv.waitKey(0)
cv.destroyAllWindows()

c++代码

#include 
#include 

using namespace cv;
using namespace std;

int main(int argc, const char *argv[])
{
	// create image one
	Mat src1 = Mat::zeros(Size(400, 400), CV_8UC3);
	Rect rect(100, 100, 100, 100);
	src1(rect) = Scalar(0, 0, 255);
	imshow("input1", src1);
	printf("create first image...\n");

	// create image two
	Mat src2 = Mat::zeros(Size(400, 400), CV_8UC3);
	rect.x = 150;
	rect.y = 150;
	src2(rect) = Scalar(0, 255, 255);
	imshow("input2", src2);
	printf("create second image...\n");

	// 逻辑操作
	Mat dst1, dst2, dst3;
	bitwise_and(src1, src2, dst1);
	bitwise_xor(src1, src2, dst2);
	bitwise_or(src1, src2, dst3);

	// show results
	imshow("dst1", dst1);
	imshow("dst2", dst2);
	imshow("dst3", dst3);
	waitKey(0);
	return 0;
}

运行结果如下：