intensity

import matplotlib.pyplot as plt
	import numpy as np
	def rgbToGrayLevel(img):
	img3 = np.zeros((img.shape[0], img.shape[1]))
	for i in range(img.shape[0]):
	for j in range(img.shape[1]):
	img3[i,j] = sum(img[i,j,:])/3
	return img3
	def redIntensity(img): #rgb - 012
	img2 = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)
	for i in range(img.shape[0]):
	for j in range(img.shape[1]):
	if(img[i,j,0]+50 > 255):
	img2[i,j,0] = 255
	else:
	img2[i,j,0] = img[i,j,0]+50
	img2[i,j,1] = img[i,j,1]
	img2[i,j,2] = img[i,j,2]
	return img2
	def grayLevelIntensity(img): #255'e yaklaştıkça beyazlaşır
	img4 = np.zeros((img.shape[0], img.shape[1]))
	for i in range(img.shape[0]):
	for j in range(img.shape[1]):
	if(img[i,j]-75 < 0):
	img4[i,j] = 0
	else:
	img4[i,j] = img[i,j] - 75
	return img4
	img1 = plt.imread('test4.jpg')
	redIntensityImg = redIntensity(img1)
	grayLevelImg = rgbToGrayLevel(img1)
	grayLevelIntensityImg = grayLevelIntensity(grayLevelImg)
	plt.imshow(img1)
	plt.show()
	plt.imshow(redIntensityImg)
	plt.show()
	plt.imshow(grayLevelImg, plt.cm.gray)
	plt.show()
	plt.imshow(grayLevelIntensityImg, plt.cm.gray)
	plt.show()