OpenCV-Python Feature2D 特征点检测(含ORB/KAZE/FAST/BRISK/AKAZE)

​​代码在git​​link

Open3.x-Python 特征点检测方法

• 对于OpenCV3.x-Python，特征点检测及显示方法如下：
• 下面就重点介绍OpenCV3.x-Python中的各种特征点检测方法的使用示例。
• 测试图像为标准的lena.png



• AKAZE Feature Detection

#!/usr/bin/env python
# -*- coding=utf-8 -*-
# Summary: 使用OpenCV3.x-Python检测AKAZE特征点
# Author:  Amusi
# Date:    2018-03-17
# Reference: https://docs.opencv.org/master/d8/d30/classcv_1_1AKAZE.html
 
import cv2
import numpy
 
def main():
 
  img = cv2.imread("lena.png")
  cv2.imshow('Input Image', img)
  cv2.waitKey(0)
  
  # 检测
  akaze = cv2.AKAZE_create()
  keypoints = akaze.detect(img, None)
  
  # 显示
  # 必须要先初始化img2
  img2 = img.copy()
  img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))
  cv2.imshow('Detected AKAZE keypoints', img2)
  cv2.waitKey(0)
    
if __name__ == '__main__':
  main()

BRISK Feature Detection

import cv2
import numpy
 
def main():
  img = cv2.imread("lena.png")
  cv2.imshow('Input Image', img)
  cv2.waitKey(0)
 
 
  brisk = cv2.BRISK_create()
  keypoints = brisk.detect(img, None)
  
  # 必须要先初始化img2
  img2 = img.copy()
  img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))
  cv2.imwrite('bk.png', img2)
  cv2.imshow('Detected BRISK keypoints', img2)
  cv2.waitKey(0)
    
if __name__ == '__main__':
  main()

Fast Feature Detection

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 24 14:08:30 2021

@author: ledi
"""

#!/usr/bin/env python
# -*- coding=utf-8 -*-
# Summary: 使用OpenCV3.x-Python检测FAST特征点
# Author:  Amusi
# Date:    2018-03-17
# Reference: https://docs.opencv.org/master/df/d74/classcv_1_1FastFeatureDetector.html
 
import cv2
import numpy
 
def main():
 
  img = cv2.imread("lena.png")
  cv2.imshow('Input Image', img)
  cv2.waitKey(0)
 
  # 2018-03-17 Amusi: OpenCV3.x FeatureDetector写法有变化
  # OpenCV2.x
  # fast = cv2.FastFeatureDetector()
  # keypoints = fast.detect(img, None)
  
  # OpenCV3.x
  # 注意有_create()后缀
  fast = cv2.FastFeatureDetector_create()
  keypoints = fast.detect(img, None)
  
  # 必须要先初始化img2
  img2 = img.copy()
  img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))
  cv2.imwrite('bk.png', img2)
  cv2.imshow('Detected FAST keypoints', img2)
  cv2.waitKey(0)
    
if __name__ == '__main__':
  main()

KAZE Feature Detection

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 24 14:15:45 2021

@author: ledi
"""

#!/usr/bin/env python
# -*- coding=utf-8 -*-
# Summary: 使用OpenCV3.x-Python检测KAZE特征点
# Author:  Amusi
# Date:    2018-03-17
# Reference: https://docs.opencv.org/master/d3/d61/classcv_1_1KAZE.html
 
import cv2
import numpy
 
def main():
 
  img = cv2.imread("lena.png")
  cv2.imshow('Input Image', img)
  cv2.waitKey(0)
  
  # 检测
  kaze = cv2.KAZE_create()
  keypoints = kaze.detect(img, None)
  
  # 显示
  # 必须要先初始化img2
  img2 = img.copy()
  img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))
  cv2.imwrite('kaze.png', img2)
  cv2.imshow('Detected KAZE keypoints', img2)
  cv2.waitKey(0)
    
if __name__ == '__main__':
  main()

ORB Feature Detection

#!/usr/bin/env python
# -*- coding=utf-8 -*-
# Summary: 使用OpenCV3.x-Python检测ORB特征点
# Author:  Amusi
# Date:    2018-03-17
# Reference: https://docs.opencv.org/master/db/d95/classcv_1_1ORB.html
 
 
import cv2
import numpy
 
 
def main():
 
 
  img = cv2.imread("lena.png")
  cv2.imshow('Input Image', img)
  cv2.waitKey(0)
  
  # 检测
  orb = cv2.ORB_create()
  keypoints = orb.detect(img, None)
  
  # 显示
  # 必须要先初始化img2
  img2 = img.copy()
  img2 = cv2.drawKeypoints(img, keypoints, img2, color=(0,255,0))
  cv2.imwrite('orb.png', img2)
  cv2.imshow('Detected ORB keypoints', img2)
  cv2.waitKey(0)
    
if __name__ == '__main__':
  main()