检测车牌的SIFT特征并匹配

# 代码5-14 检测车牌的SIFT特征并匹配
import cv2

img1 = cv2.imread('../data/plate.jpg')
img2 = cv2.imread('../data/car.jpg')

sift = cv2.SIFT_create()
# 利用sift.detectAndCompute()函数找到特征点，计算描述符；
kp1, des1 = sift.detectAndCompute(img1, None)
kp2, des2 = sift.detectAndCompute(img2, None)

# 创建匹配对象
bf = cv2.BFMatcher()
# 暴力匹配
matches = bf.match(des1, des2)
# 排序
matches = sorted(matches, key=lambda x: x.distance)
# 绘制匹配图像
img3 = cv2.drawMatches(img1, kp1, img2, kp2, matches[: 50], None, flags=2)
cv2.imwrite('../tmp/BF.jpg', img3)
cv2.imshow("aa",img3)
cv2.waitKey()