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pythonopencvcomputer-visionhsvcolor-tracking

Tracking white color using python opencv


I would like to track white color using webcam and python opencv. I already have the code to track blue color.

_, frame = cap.read()
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)

# define range of blue color in HSV
lower_blue = np.array([110,100,100])
upper_blue = np.array([130,255,255])

#How to define this range for white color


# Threshold the HSV image to get only blue colors
mask = cv2.inRange(hsv, lower_blue, upper_blue)
# Bitwise-AND mask and original image
res = cv2.bitwise_and(frame,frame, mask= mask)

cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)

what values should I give as lower bound and upper bound to track white color!!?? I tried changing values and I got other colors but no luck with the white color!!!

is that HSV values or BGR values specified as lower and upper bounds???

PS : I must get the last result as a binary image for further processing!!

Please help me !!!


Solution

  • I wrote this for tracking white color :

    import cv2
    import numpy as np
    
    cap = cv2.VideoCapture(0)
    
    while(1):
    
        _, frame = cap.read()
        hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
    
        # define range of white color in HSV
        # change it according to your need !
        lower_white = np.array([0,0,0], dtype=np.uint8)
        upper_white = np.array([0,0,255], dtype=np.uint8)
    
        # Threshold the HSV image to get only white colors
        mask = cv2.inRange(hsv, lower_white, upper_white)
        # Bitwise-AND mask and original image
        res = cv2.bitwise_and(frame,frame, mask= mask)
    
        cv2.imshow('frame',frame)
        cv2.imshow('mask',mask)
        cv2.imshow('res',res)
    
        k = cv2.waitKey(5) & 0xFF
        if k == 27:
            break
    
    cv2.destroyAllWindows()
    

    I tried to track the white screen of my phone and got this :

    enter image description here

    You can try changing the HSV values You might also try HSL color space as Legat said, it would be more accurate