在opencv中检测半个完整的椭圆

Question

我正在尝试使用 opencv 测量椭圆的最小和最大半径。 但是这个椭圆并不完全完整 如图

我试过霍夫圆法。但它没有给我我需要的输出。

这是我期望得到的输出。

Answer 1

您可以通过找到区域的凸包然后在 Python/OpenCV 中拟合一个椭圆来做到这一点。

输入：

import cv2
import numpy as np

# read image
img = cv2.imread('half_ellipses.jpg')
hh, ww = img.shape[:2]
print(hh,ww)

# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# threshold to binary and invert
thresh = cv2.threshold(gray, 128, 255, cv2.THRESH_BINARY)[1]
thresh = 255 - thresh

# get convex hull of white pixels
points = np.column_stack(np.where(thresh.transpose() > 0))
hull = cv2.convexHull(points)
((centx,centy), (width,height), angle) = cv2.fitEllipse(hull)
print ((centx,centy), (width,height), angle)

# draw polygon
result = img.copy()
cv2.ellipse(result, (int(centx),int(centy)), (int(width/2),int(height/2)), angle, 0, 360, (0,0,255), 2)

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

# save results
cv2.imwrite('half_ellipses_hull_ellipse.png', result)

结果：

在opencv中检测半个完整的椭圆

Detect a half complete ellipse in opencv

c#

python

opencv

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