Reputation: 124
The below is the code:
self.img = cv2.imread(image,)
circle = cv2.HoughCircles(self.img, 3,
dp=1.5, minDist=1000, minRadius=100, maxRadius=1000)
red = (0,0,255)
x = circle[0][0][0]
y = circle[0][0][1]
r = circle[0][0][2]
cv2.circle(self.img, (x, y), r, red, 2)
x - X
y - Y
r - Radius
For example: 521.25, 506.25, 318.919
From the code how to crop the circle from the given example ?
Upvotes: 4
Views: 15639
Reputation: 1494
After circles=cv2.HoughCircles(img,...)
if len(circles) == 1:
x, y, r = circles[0][0]
print x, y, r
mask = np.zeros((w0,h0),dtype=np.uint8)
cv2.circle(mask,(x,y),r,(255,255,255),-1,8,0)
#cv2.imwrite(argv[2],mask)
out = img*mask
white = 255-mask
cv2.imwrite(argv[2],out+white)
Upvotes: 2
Reputation: 2770
Its simple .. you need to get x,y co-ordinates of top right of rectangle and find with and height. Circles can be only enclosed in squares.
# given x,y are circle center and r is radius
rectX = (x - r)
rectY = (y - r)
crop_img = self.img[y:(y+2*r), x:(x+2*r)]
Upvotes: 3