image normalisation

hy guys. im working on a aplicaton for image features extraction. In
the beginning i was convinced that tghis would not be hard, but as
soon i got the pictures that i should be working on I was shocked.
they are taken with a bad camera so the pixels are too clusterized and
there is too much noise. it is impossible to get any information from
the image when i apply any edge detect or corner detect algorithm. I
tried bluring and then extracting the edges. nothing. so i used some
combinations of algorithms and I found an algorithm combination that
works well but there is (as usual) problem. it's too sensitive to
brightness. Is there anything you would recomend. i need a
normalisation for brightness. not only to bring the image to one, but
is there anything to correct the brightness from a specific direction,
or.

.

Relevant Pages

  • Re: image normalisation
    ... the beginning i was convinced that tghis would not be hard, ... soon i got the pictures that i should be working on I was shocked. ... the image when i apply any edge detect or corner detect algorithm. ... normalisation for brightness. ...
    (sci.image.processing)
  • Re: image normalisation
    ... Sounds like you need to look into histogram matching techniques (good ... does the brightness always come from some fixed, ... the pictures were taken with the light from down-right, ... threshold value in the algorithm it worked. ...
    (sci.image.processing)
  • Re: image normalisation
    ... i saw a dr. work from some guy about eye extraction. ... tried the pictures they tried on. ... to admit, that his algorithm may might work, but only if he would ... does the brightness always come from some fixed, ...
    (sci.image.processing)
  • Re: image normalisation
    ... tried the pictures they tried on. ... to admit, that his algorithm may might work, but only if he would ... does the brightness always come from some fixed, ... something like if i have one picture as a template, normalise the ...
    (sci.image.processing)
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