最佳答案
您可以在 Python/OpenCV 中执行此操作,方法是获取轮廓并将其绘制为黑色背景上的白色填充。
输入:
import cv2
import numpy as np
# Read image as grayscale
img = cv2.imread('knife_edge.png', cv2.IMREAD_GRAYSCALE)
hh, ww = img.shape[:2]
# threshold
thresh = cv2.threshold(img, 128, 255, cv2.THRESH_BINARY)[1]
# get the (largest) contour
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]
big_contour = max(contours, key=cv2.contourArea)
# draw white filled contour on black background
result = np.zeros_like(img)
cv2.drawContours(result, [big_contour], 0, (255,255,255), cv2.FILLED)
# save results
cv2.imwrite('knife_edge_result.jpg', result)
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()
结果:
关于python - 如何在opencv-python中填充canny边缘图像,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/67285972/