Python-opencv sift特征提取 匹配
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系统说明：Python3.5.1，opencv_contrib3.4.1,window7
import cv2
import numpy as np
img_orign = cv2.imread('picture_orign.jpg')
img=cv2.imread('picture.jpg')
rows,cols = img.shape[:2]
gray_orign= cv2.cvtColor(img_orign,cv2.COLOR_BGR2GRAY)
gray= cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
sift=cv2.xfeatures2d.SIFT_create()
kp1, des1 = sift.detectAndCompute(gray_orign, None)
kp2, des2 = sift.detectAndCompute(gray, None)
bf = cv2.BFMatcher()
matches = bf.knnMatch(des1, des2, k=2)
good = []
for m, n in matches:
if m.distance < 0.75* n.distance:
good.append([m])
img3 = cv2.drawMatchesKnn(img_orign, kp1, img, kp2, good[:20], None, flags=2)
cv2.imshow('img',img3)
cv2.waitKey(0)
cv2.destroyAllWindows()
结果：
进一步想实现通过匹配得出两幅图像的旋转矩阵，待续…
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