I'm trying to find the color invariants of a photo. I searched it and found that I need to find the value of
c1 as its simplest feature. We can find
c1 by this formula
When I try to find img cols and rows with
img.shape and split this image b,g,r.
import cv2 import math import matplotlib.pyplot as plt img = cv2.imread('CU.png') b,g,r = cv2.split(img) cv2.imshow('Image',img) cv2.waitKey(0) cv2.destroyAllWindows() print(img.shape) rows,cols,channels = img.shape for i in range(rows): for j in range(cols): b = img[i,j,0] g = img[i,j,1] r = img[i,j,2] x = (r/max(g,b)) c1= math.atan(x) plt.plot(i,j,c1) plt.show()
I thought I should split the picture into rows and columns and then break it down into b, g, r. I had to find c1 using the values b, g, r in each row and column, but I'll do this
I wonder if anyone knows about it? How to find color constants or what should I do or is my method of finding this