What does normalize function do when used with "NORM_MINMAX" ?

asked 2015-04-03 08:33:11 -0600

bubble
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I referred the opnecv documentation here; but there is no description of of how exactly the image is normalized when used with this flag. I am trying to use this kind of scaling to make a laplace transformed image to look like the output of matlab.

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answered 2015-04-03 09:01:25 -0600

FooBar
2938 ●9 ●37 http://magazino.eu/

updated 2015-04-03 09:13:24 -0600

What do you mean? The docu says: "or so that min(dist) = alpha and max(dist) = beta when normType=NORM_MINMAX (for dense arrays only)"

As it only scales and shifts, the transformation should be (if a and b are you lower and upper bound in the input)

dst = (x-a)/(b-a)*(beta-alpha) + alpha

(but that should be easy to verify in the code)

// the code is here: https://github.com/Itseez/opencv/blob...

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I see a completely plane gray image if try to normalize my image between 0 and 255.

bubble ( 2015-04-03 09:41:26 -0600 )edit

And how does your image look like?

FooBar ( 2015-04-03 10:35:53 -0600 )edit

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Asked: 2015-04-03 08:33:11 -0600

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Last updated: Apr 03 '15

What does normalize function do when used with "NORM_MINMAX" ? edit