Searching through google about how to get the area of the vehicle in an image of 61x61 , I already used contours , background subtraction but still I cant get an exact output. Any idea on how to get the pixel size of the vehicle in the image below? Btw Im new to opencv your expertise will really help
Thanks
Here is a Python code to get the contours and get the contour areas:
import cv2
import numpy
frame = cv2.imread('blobs.png')
if frame is None:
print('Error loading image')
exit()
frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
ret, frame = cv2.threshold(frame, 127, 255, cv2.THRESH_BINARY)
frame, contours, hierarchy = cv2.findContours(frame, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
areas = []
for i in range(0, len(contours)):
areas.append(cv2.contourArea(contours[i]))
mass_centres_x = []
mass_centres_y = []
for i in range(0, len(contours)):
M = cv2.moments(contours[i], 0)
mass_centres_x.append(int(M['m10']/M['m00']))
mass_centres_y.append(int(M['m01']/M['m00']))
print 'Num particles: ', len(contours)
for i in range(0, len(contours)):
print 'Area', (i + 1), ':', areas[i]
for i in range(0, len(contours)):
print 'Centre',(i + 1),':', mass_centres_x[i], mass_centres_y[i]
cv2.imshow("Frame", frame)
cv2.waitKey(0)
It appears that the M['m00'] contains zero value which I get this kind of error and after using the image below the contours detected are 7 which I think is not right? Do I need to undergo some pre process of the image?
Error : ZeroDivisionError: float division by zero in this line -> mass_centres_x.append(int(M['m10']/M['m00']))
this is the actual image https://ibb.co/j4i3ZG
Asked: 2018-01-22 11:55:45 -0600
Seen: 1,750 times
Last updated: Jan 22 '18
Post your contours code.
basically im using the basic from this https://docs.opencv.org/3.3.1/d4/d73/... sorry sir but Im not really good at this. Mostly I use all basic codes for trying to detect the image above. I hope theres some kind of process that I should follow
See: https://docs.opencv.org/trunk/dd/d49/...