By Joshua Jenkins

2017-01-24 19:08:59 8 Comments

I am currently working in Python to do color detection on a single image. After loading my image and establishing my RGB (or BGR in CV2), I use the following 2 lines to produce a mask and a output image.

mask = cv2.inRange(image, lower, upper)
output = cv2.bitwise_and(image, image, mask = mask)

Then the code displays the following image.

Output of my color detection

But now, I would like to take the processed image and extract pixel coordinate points for the green line.

Thanks. Any help would be appreciated.


@Soltius 2017-01-26 12:49:14

So, how about findNonZeros() on a binarised version of your image ? Starting with the image with the green line on black background :

import cv2
import numpy as np

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

#get all non zero values

EDIT : It has been pointed out on another question that you can also use numpy's function nonzeros. It gives the same results, but I find it to be slower

import cv2
import numpy as np
import time 




print("cv2.findNonZeros() takes "+str(end1-start1)+" seconds.")
print("np.nonzero() takes       "+str(end2-start2)+" seconds.")

>>> cv2.findNonZeros() takes 0.003266 seconds.
>>> np.nonzero() takes       0.021132 seconds.

@Jeru Luke 2017-01-26 10:55:20

My solution is not so neat but you can refine it later.

I drew a line across a black image:

enter image description here

And I have obtained the coordinate values of those pixels in white. I have taken two arrays to store them.


listi = []    #---stores coordinate corresponding to height of the image
listj = []    #---stores coordinate corresponding to width of the image

for i in range(0, mask.shape[0]):
    for j in range(0, mask.shape[1]):
        if(mask[i, j] == 255):
            listi = np.append(listi, i)
            listj = np.append(listj, j)

I know there is a much better way out there. I will update this answer once I figure it out.

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