036 Canny Edge Detection(1).py

import cv2 as cv
import numpy as np

src = cv.imread("01a.jpg")
cv.namedWindow("input", cv.WINDOW_AUTOSIZE)
cv.imshow("input", src)

# t1 = 100, t2 = 3*t1 = 300
edge = cv.Canny(src, 75, 300)
    #输入图像(单通道灰度图)，阈值1，阈值2
cv.imshow("mask image", edge)
# cv.imwrite("./edge.png", edge)
edge_src = cv.bitwise_and(src, src, mask=edge)  # 图像位操作

h, w = src.shape[:2]  # shape[0] shape[1]
result = np.zeros([h, w * 2, 3], dtype=src.dtype)
result[0:h, 0:w, :] = src
result[0:h, w:2 * w, :] = edge_src
cv.putText(result, "original image", (10, 30), cv.FONT_ITALIC, 1, (0, 0, 255), 2)
# 目标，文本，坐标，字体，字体大小，颜色，线粗细
cv.putText(result, "edge image", (w + 10, 30), cv.FONT_ITALIC, 1, (0, 0, 255), 2)
cv.imshow("edge detector", result)
# cv.imwrite("./result.png", result)

cv.waitKey(0)
cv.destroyAllWindows()