I found a way to compute minimum bounding box for closed regions on image (considering also rotation angle).
I can extract coordinates of centroid, width and length of bounding box and rotation angle for this image using this piece of code:
from PIL import Image
import cv2
import numpy as np
from matplotlib import pyplot as plt
image_file = Image.open("binaryraster.png")
image_file = image_file.convert('1')
image_file.save('result.png')
img = cv2.imread('result.png',0)
edges = cv2.Canny(img,100,200)
plt.subplot(111),plt.imshow(edges,cmap = 'gray')
plt.title('Canny Edge detection'), plt.xticks([]), plt.yticks([])
ret,thresh = cv2.threshold(img,127,255,0)
contours,hierarchy = cv2.findContours(thresh, 1, 2)
cnt = contours[0]
leftmost = tuple(cnt[cnt[:,:,0].argmin()][0])
rightmost = tuple(cnt[cnt[:,:,0].argmax()][0])
topmost = tuple(cnt[cnt[:,:,1].argmin()][0])
bottommost = tuple(cnt[cnt[:,:,1].argmax()][0])
rect = cv2.minAreaRect(cnt)
box = cv2.cv.BoxPoints(rect)
box = np.int0(box)
M = cv2.moments(cnt)
centroid_x = int(M['m10']/M['m00'])
centroid_y = int(M['m01']/M['m00'])
print (leftmost)
print (rightmost)
print (topmost)
print (bottommost)
print(centroid_x)
print(centroid_y)
print(rect)
print(box)
plt.show()
When I have many regions inside one image my code fails to extract all this information.
can you please help me
cnt = contours[0] # you're only checking the 1st contour here
you probably want to loop over all found contours:
for cnt in contours:
leftmost = tuple(cnt[cnt[:,:,0].argmin()][0])
rightmost = tuple(cnt[cnt[:,:,0].argmax()][0])
topmost = tuple(cnt[cnt[:,:,1].argmin()][0])
bottommost = tuple(cnt[cnt[:,:,1].argmax()][0])
rect = cv2.minAreaRect(cnt)
box = cv2.cv.BoxPoints(rect)
box = np.int0(box)
M = cv2.moments(cnt)
centroid_x = int(M['m10']/M['m00'])
centroid_y = int(M['m01']/M['m00'])
print (leftmost)
print (rightmost)
print (topmost)
print (bottommost)
print(centroid_x)
print(centroid_y)
print(rect)
print(box)
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