I have the following test code in Python to read, threshold and display an image:
import cv2
import numpy as np
from matplotlib import pyplot as plt
# read image
img = cv2.imread('slice-309.png',0)
ret,thresh = cv2.threshold(img,0,230, cv2.THRESH_BINARY)
height, width = img.shape
print "height and width : ",height, width
size = img.size
print "size of the image in number of pixels", size
# plot the binary image
imgplot = plt.imshow(img, 'gray')
plt.show()
I would like to count the number of pixels within the image with a certain label, for instance black. How can I do that ? I looked at tutorials of OpenCV but did not find any help :-(
Thanks!
For black images you get the total number of pixels (rows*cols) and then subtract it from the result you get from cv2.countNonZero(mat).
For other values, you can create a mask using cv2.inRange() to return a binary mask showing all the locations of the color/label/value you want and then use cv2.countNonZero to count how many of them there are.
UPDATE (Per Miki's comment):
When trying to find the count of elements with a particular value, Python allows you to skip the cv2.inRange() call and just do:
cv2.countNonZero(img == scalar_value)
Collected from the Internet
Please contact [email protected] to delete if infringement.
Comments