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I want to use the L*a*b color model for recognition of a particular colored object by calculating the euclidean distance between the desired color in current image and the same color in next image frame.

As the LAB color space was designed in keeping with human vision, I think it can be used for the purpose. Is this correct?

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    $\begingroup$ It sounds like you have a solution looking for a problem. What sort of images / objects are you trying to recognize? What sort of lighting is it? How are the images acquired? Can you calibrate anything about the image? Can you calibrate anything about the camera? $\endgroup$
    – Peter K.
    Commented Nov 26, 2013 at 23:15
  • $\begingroup$ Will Lab do better recognition than RGB and CMYk or not? $\endgroup$
    – Amit_DSP
    Commented Nov 27, 2013 at 5:47
  • $\begingroup$ In RGB, the Euclidean distance between colors does not follow human intuition. Lab is better in this regard. CMYK is more a printing industry norm, it is linked to how images are printed on paper (inks or pigments, subtractive color synthesis). $\endgroup$
    – sansuiso
    Commented Nov 27, 2013 at 7:48
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    $\begingroup$ That really depends on your application! As @lennon310 says, which colours are best will depend on the objects you are dealing with, the background they are on and the sort of camera you are using. You haven't given anywhere near enough information to try to answer this question in any different way. $\endgroup$
    – Peter K.
    Commented Nov 27, 2013 at 13:02

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Yes Lab color is designed to approximate human vision. But there are also RGB and CMYK color models, and their transforms like HSL and HSV. Which color base can best make your object feature distinguishable needs your experiment to validate.

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