CODEWITHSUNDEEP
pythonopencv
Maham
Maham

Reputation: 442

Conversion of three channel binary image to three channel RGB image

Is there any OpenCV function to convert three channel binary image to 3 channel RGB image? Here is my code where disparitySGB.jpg is a grayscale (3 channel image).

import cv2
import numpy as np

image=cv2.imread("disparitySGB.jpg")
thresh=cv2.inRange(image,np.array([89,89,89]),np.array([140,140,140]));
cv2.rectangle(np.array(thresh),(100,100),(120,120),(255,255,0),3)
cv2.imshow("thresh",thresh)
cv2.waitKey()

inRange returns 8U image.My concern is that the rectangle drawn must be colored.In this case it is white.(I think it is because the image is three channel binary image).

Upvotes: 0

Views: 2526

Answers (1)

berak
berak

Reputation: 39796

# my dummy channels:
r = np.ones((100,100),np.uint8)  * 100
g = np.ones((100,100),np.uint8)  * 70
b = np.ones((100,100),np.uint8)  * 10

#now, just merge them:
rgb = cv2.merge((r,g,b))

you can only draw coloured things on 3channel mats. you probably need to : thresh_col = cv2.cvtColor(thresh,cv2.COLOR_GRAY2BGR) and then draw into that

Upvotes: 1

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