在OpenCV中使用drawMatches函数绘制虚线,可以通过以下步骤实现:
import cv2
import numpy as np
img1 = cv2.imread('image1.jpg', 0)
img2 = cv2.imread('image2.jpg', 0)
orb = cv2.ORB_create()
kp1, des1 = orb.detectAndCompute(img1, None)
kp2, des2 = orb.detectAndCompute(img2, None)
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
matches = bf.match(des1, des2)
matches = sorted(matches, key=lambda x: x.distance)
num_matches = 10
matches = matches[:num_matches]
result = np.empty((max(img1.shape[0], img2.shape[0]), img1.shape[1]+img2.shape[1], 3), dtype=np.uint8)
result[:img1.shape[0], :img1.shape[1]] = cv2.cvtColor(img1, cv2.COLOR_GRAY2BGR)
result[:img2.shape[0], img1.shape[1]:] = cv2.cvtColor(img2, cv2.COLOR_GRAY2BGR)
for match in matches:
img1_idx = match.queryIdx
img2_idx = match.trainIdx
(x1, y1) = kp1[img1_idx].pt
(x2, y2) = kp2[img2_idx].pt
x2 += img1.shape[1]
cv2.line(result, (int(x1), int(y1)), (int(x2), int(y2)), (0, 255, 0), 1, cv2.LINE_AA)
cv2.imshow('Matches', result)
cv2.waitKey(0)
cv2.destroyAllWindows()
这样就可以在OpenCV上使用drawMatches函数绘制虚线连接匹配点。请注意,以上代码仅为示例,实际应用中可能需要根据具体情况进行调整和优化。
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