fanfuhan OpenCV 教學007 ~ opencv-007-圖像像素之邏輯操作 (使用顏色特性，圖片預先處理，藉此凸顯/過濾特徵點) – jashliao部落格

fanfuhan OpenCV 教學007 ~ opencv-007-圖像像素之邏輯操作 (使用顏色特性，圖片預先處理，藉此凸顯/過濾特徵點)

資料來源: https://fanfuhan.github.io/

https://fanfuhan.github.io/2019/03/24/opencv-007/

GITHUB:https://github.com/jash-git/fanfuhan_ML_OpenCV

C++

#include 
#include 

using namespace std;
using namespace cv;

/*
 * 图像像素的逻辑操作
 */
int main() {
    // create image one, CV_8UC3创建三通道图像
    Mat src1 = Mat::zeros(Size(400, 400), CV_8UC3);
    Rect rect(100,100,100,100);
    // Scalar() 参数为BGR三通道值，绿色和红色加起来是黄色
    src1(rect) = Scalar(0, 255, 255);
    imshow("input1", src1);

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

    // 逻辑操作
    Mat dst1, dst2, dst3;
    bitwise_and(src1, src2, dst1);
    bitwise_xor(src1, src2, dst2);
    bitwise_or(src1, src2, dst3);
    imshow("and", dst1);
    imshow("xor", dst2);
    imshow("or", dst3);

    // 演示取反操作
    Mat src = imread("../images/test1.jpg");
    Mat dst;
    imshow("input", src);
    bitwise_not(src,dst);
    imshow("not", dst);

    waitKey(0);
    return 0;
}

Python

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)

src = cv.imread("../images/test1.jpg")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)
dst = cv.bitwise_not(src)
cv.imshow("dst", dst)

cv.waitKey(0)
cv.destroyAllWindows()