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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()