Calculating euclidian distance in RGB spaces

The formula for calculating euclidian distance in LUV spaces is:

Diff=∆E= [( ∆L*)^2 +( ∆U*)^2+( ∆V*)^2]^1/2

∆L is the * difference between- the values of the pixels * in L components, not between the coordinates of the pixels..

Likewise ,in RGB spaces,is the formula same?

[Adam]

That is always the definition of Euclidean distance. The only assumption is that you are in a Euclidean space. Mathematically you may be, but visually is a different matter when it comes to colour of course.

[Durga]

thank u sir

Answer 1

[Walter Roberson]

You can calculate a Euclidean distance that way, square root of sum of the squares of the differences in values. But it will not have the same properties as delta-e in LUV or delta-e in LAB space (for which see http://www.mathworks.com/matlabcentral/answers/73741-how-to-identify-boundaries-of-shapes-in-an-image-using-the-change-in-color#comment_145951)

[Durga]

It helped..thank u sir.