上述过程代码
时间: 2023-11-12 07:17:31 浏览: 26
以下是基于OpenCV实现全景图拼接和图像融合的代码示例:
```python
import cv2
import numpy as np
# 读取两张图片
img1 = cv2.imread('img1.jpg')
img2 = cv2.imread('img2.jpg')
# 提取关键点和描述符
sift = cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(img1, None)
kp2, des2 = sift.detectAndCompute(img2, None)
# 匹配关键点
bf = cv2.BFMatcher(cv2.NORM_L2, crossCheck=True)
matches = bf.match(des1, des2)
# 筛选匹配点
matches = sorted(matches, key=lambda x:x.distance)
good_matches = []
for m in matches:
if m.distance < 0.7 * matches[0].distance:
good_matches.append(m)
# 计算变换矩阵
src_pts = np.float32([kp1[m.queryIdx].pt for m in good_matches]).reshape(-1, 1, 2)
dst_pts = np.float32([kp2[m.trainIdx].pt for m in good_matches]).reshape(-1, 1, 2)
M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC, 5.0)
# 拼接图像
h, w = img1.shape[:2]
img1_warped = cv2.warpPerspective(img1, M, (w * 2, h))
img1_warped[0:h, 0:w] = img2
# 图像融合
gray = cv2.cvtColor(img1_warped, cv2.COLOR_BGR2GRAY)
gray = cv2.medianBlur(gray, 5)
ret, mask = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY)
mask = cv2.erode(mask, None, iterations=2)
mask = cv2.dilate(mask, None, iterations=2)
mask = cv2.merge([mask, mask, mask])
result = cv2.seamlessClone(img1_warped, img2, mask, (w, h), cv2.NORMAL_CLONE)
# 显示结果
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()
```
需要注意的是,以上代码仅适用于两张水平拍摄的图像拼接。对于其他情况,例如垂直或者不同角度的拍摄,需要进行相应的调整和处理。