Example Analysis of OpenCV Image feature and harris Corner Detection in Python

This article mainly introduces the Python OpenCV image features and harris corner detection example analysis, the article is very detailed, has a certain reference value, interested friends must read it!

Concept

Step 1: calculate a gradient Ix,Iy

Step 2: integrate the matrix and calculate the eigenvalues

Step 3: compare the size of eigenvalues

Step 4: non-maximum suppression, leaving the real corner, and filtering out the code around the corner

Import cv2import numpy as npimg = cv2.imread ('pie.png') print (' img.shape',img.shape) gray = cv2.cvtColor (img,cv2.COLOR_BGR2GRAY) # gray = np.float32 (gray) dst = cv2.cornerHarris (gray,2,3,0.04) print ('dst.shape',dst.shape)

Img [dst > 0.01*dst.max ()] = [0mem0255] cv2.imshow ('dst',img) cv2.waitKey (0) cv2.destroyAllWindows ()

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