SURF关键点检测（python实现）_surf_create

1.SIFT关键点检测，Shi-Tomasi角点检测，Harris角点检测

Harris:https://blog.csdn.net/Keep_Trying_Go/article/details/125384144
Shi-Tomasi:https://blog.csdn.net/Keep_Trying_Go/article/details/125384218
SIFT:https://blog.csdn.net/Keep_Trying_Go/article/details/125384278

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2.SURF(Speeded-Up Robust Features)加速的鲁棒性检测

(1)提出理由：SIFT最大的问题是检测速度慢，所以提出SURF；

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3.使用过程

（1）创建surf对象；cv2.xfeatures2d.SURF_create()
（2）关键点检测和特征匹配：kp,des=surf.detectAndCompute(gray,mask);

使用cv2.xfeatures2d.SURF_create()

pip install opencv-contrib-python==3.4.2.16 -i https://pypi.tuna.tsinghua.edu.cn/simple/
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4.代码实战

import os
import cv2
import numpy as np

img=cv2.imread('images/HaLiSi.jpg')
img=cv2.resize(src=img,dsize=(450,450))
gray=cv2.cvtColor(src=img,code=cv2.COLOR_BGR2GRAY)
#SIFT对象创建
surf=cv2.xfeatures2d.SURF_create()
#进行检测,其中第二个参数为None，表示对整张图进行检测
kp=surf.detect(gray,None)
#进行特征匹配
# kp,des=surf.compute(gray,kp)

kp,des=surf.detectAndCompute(gray,None)
print(des)
#绘制角点
cv2.drawKeypoints(image=gray,keypoints=kp,outImage=img,color=(0,255,0))

cv2.imshow('img',img)
cv2.waitKey(0)
cv2.destroyAllWindows()

if __name__ == '__main__':
    print('Pycharm')
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