Changing colours of an area in an image using opencv in python

Question

I have a picture were I want to change all white-ish pixels to grey, but only for a certain area of the image. Example picture, I just want to change the picture outside of the red rectangle, without changing the image within the red rectangle:

I already have the general code, which was part of someone elses Stackoverflow question, that changes the colour of every white pixel instead of only just the one outside of an area.

image = cv.imread("meme 2.jpg")
hsv = cv.cvtColor(image, cv.COLOR_BGR2HSV)

# Define lower and uppper limits of what we call "white-ish"
sensitivity = 19
lower_white = np.array([0, 0, 255 - sensitivity])
upper_white = np.array([255, sensitivity, 255])

# Mask image to only select white
mask = cv.inRange(hsv, lower_white, upper_white)

# Change image to grey where we found brown
image[mask > 0] = (170, 170, 170)
cv.imwrite(file, image)

Answer 1

Here is another simpler method in Python/OpenCV. My previous answer was overly complicated.

• Read the input
• Convert to HSV color space
• Create a mask image by color thresholding
• Draw a black rectangle on the previous mask for where you do not want to change the color
• Apply the new combined mask to the image to change the color in the desired region
• Save the result

Input:

import cv2
import numpy as np

# Read image
image = cv2.imread('4animals.jpg')

# Convert to HSV
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)

# Define lower and uppper limits of what we call "white-ish"
sensitivity = 19
lower_white = np.array([0, 0, 255 - sensitivity])
upper_white = np.array([255, sensitivity, 255])

# Create mask to only select white
mask = cv2.inRange(hsv, lower_white, upper_white)

# Draw new rectangular mask on old mask that is black inside the rectangle and white outside the rectangle
x,y,w,h = 33,100,430,550
mask2 = mask.copy()
cv2.rectangle(mask2, (x,y), (x+w,y+h), 0, -1)

# Change image to grey where we found white for combined mask
result = image.copy()
result[mask2 > 0] = (170, 170, 170)

# save results
cv2.imwrite('4animals_mask.jpg', mask)
cv2.imwrite('4animals_mask2.jpg', mask2)
cv2.imwrite('4animals_result.jpg', result)

cv2.imshow('mask', mask)
cv2.imshow('mask2', mask2 )
cv2.imshow('result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()

Mask from color thresholding:

Modified mask with rectangle drawn over it:

Result: