OpenCV-Python Feature2D 特征点检测 (SIFT,SURF)

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下面介绍属于nonfree的特征检测方法，如SIFT和SURF。

这些方法在opencv-contrib中，所以想要使用前，请卸载当前非contrib版本的opencv，即pip uninstall opencv-python后；再重新安装opencv-contrib-python，即pip install opencv-contrib-python

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple opencv-contrib-python

SIFT Feature Detection

#!/usr/bin/env python # -*- coding=utf-8 -*- # Summary: 使用OpenCV3.x-Python检测SIFT特征点 # Author: Amusi # Date: 2018-03-17 # Reference: https://docs.opencv.org/master/d5/d3c/classcv_1_1xfeatures2d_1_1SIFT.htmlimport cv2 import numpydef main():img = cv2.imread("lena.png")cv2.imshow('Input Image', img)cv2.waitKey(0)# 检测sift = cv2.xfeatures2d.SIFT_create()keypoints = sift.detect(img, None)# 显示# 必须要先初始化img2img2 = img.copy()img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))cv2.imwrite('sift.png', img2)cv2.imshow('Detected SIFT keypoints', img2)cv2.waitKey(0)if __name__ == '__main__':main()

SURF Feature Detection

#!/usr/bin/env python # -*- coding=utf-8 -*- # Summary: 使用OpenCV3.x-Python检测SURF特征点 # Author: Amusi # Date: 2018-03-17 # Reference: https://docs.opencv.org/master/d5/df7/classcv_1_1xfeatures2d_1_1SURF.htmlimport cv2 import numpydef main():img = cv2.imread("lena.png")cv2.imshow('Input Image', img)cv2.waitKey(0)# 检测surf = cv2.xfeatures2d.SURF_create()keypoints = surf.detect(img, None)# 显示# 必须要先初始化img2img2 = img.copy()img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))cv2.imshow('Detected SURF keypoints', img2)cv2.waitKey(0)if __name__ == '__main__':main()

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