HSV color space is more often used in machine vision owing to its superior performance compared to RGB color space in varying illumination levels. Often thresholding and masking is done in HSV color space. So it is very important to know the HSV values of the color which we want to filter out. HSV color space of  OpenCV is a bit complicated than other software programmes like Gimp, Photoshop etc.So  I have written a small python script to grab frames from a camera, and print the HSV value of the pixel under the cursor

Screenshot

HSV means Hue-Saturation-Value, where the Hue is the color.Saturation is the greyness, so that a Saturation value near 0 means it is dull or grey looking.And Value is the brightness of the pixel.(For a lot more info about HSV and other color spaces, go to HSL and HSV on Wikipedia)

The python code is given below . It prints the HSV values under the cursor into the terminal as well as overlays on the video as text.

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# returns HSV value of the pixel under the cursor in a video stream
# author: achuwilson
# achuwilson.wordpress.com
import cv
import time
x_co = 0
y_co = 0
def on_mouse(event,x,y,flag,param):
  global x_co
  global y_co
  if(event==cv.CV_EVENT_MOUSEMOVE):
    x_co=x
    y_co=y

cv.NamedWindow("camera", 1)
capture = cv.CaptureFromCAM(0)
font = cv.InitFont(cv.CV_FONT_HERSHEY_SIMPLEX, 0.5, 1, 0, 2, 8)
while True:
    src = cv.QueryFrame(capture)
    cv.Smooth(src, src, cv.CV_BLUR, 3)
    hsv = cv.CreateImage(cv.GetSize(src), 8, 3)
    thr = cv.CreateImage(cv.GetSize(src), 8, 1)
    cv.CvtColor(src, hsv, cv.CV_BGR2HSV)
    cv.SetMouseCallback("camera",on_mouse, 0);
    s=cv.Get2D(hsv,y_co,x_co)
    print "H:",s[0],"      S:",s[1],"       V:",s[2]
    cv.PutText(src,str(s[0])+","+str(s[1])+","+str(s[2]), (x_co,y_co),font, (55,25,255))
    cv.ShowImage("camera", src)
    if cv.WaitKey(10) == 27:
        break