now im confused... weren't you the original poster? so you want to
find pictures with exactly the same framing? does it have to be
fast? how drastically different can the lighting be? are there any
known constants that can make things easier (do we for instance have
15 images and one original and want to find the one match?) how much
detail will be in the images?
depending on exactly what you want do, and how long you can take some
of the options would be:
- histogram matching > the closer the histogram is between images,
the more likely they are to be similar content (perhaps not exact
framing though).
- edge detection > find all major edges then compare their
positions. this works better for exact framings with differing
lighting.
- something similar to a motion detection algorithm > take the source
image and subtract the dest image, then move the dest image x times
up/left/right/down to make x^2 difference images. for each pixel,
find the lowest cost among any of the difference images. then sum
the pixel costs. the lower the sum the more likely they are
'close' (you'll need to play with x and with a good cutoff for the
sum).
i may be able to come up with a few other ideas, but these things are
very picky - in my experience the algorithm is pretty tightly bound
to the exact images to be tested/ hardware/ time constraints.
perhaps you could post some images somewhere with your idea of a
worst case match.
mike
--
Mike Woodworth
[EMAIL PROTECTED]
On Feb 18, 2006, at 7:40 PM, Stefan Pantke wrote:
As far as I know, the other guy is in search for duplicates
or nearly duplicates.
Nearly means same camera position, but probably other lightning
or such.
Am 19.02.2006 um 00:15 schrieb Mike Woodworth:
it depends on what you mean by similarity. to me, this could mean
anything from finding duplicate images, to movement detection, to
scene detection in movies. i have some code for doing some
specific types of image comparisons (for machine vision). perhaps
if you elaborate, i can offer some suggestions.
mike
--
Mike Woodworth
[EMAIL PROTECTED]
On Feb 18, 2006, at 5:38 PM, Stefan Pantke wrote:
Does anybody know of reference paperware, libraries or sample
code, how
to compare similarity of pictures?
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