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@Frank, thanks for your advice. Could you give me some example code in Python? PIL's build-in histogram() function returns a list, how to determine how close two images' histograms are?

jack
– jack

2009-11-10 00:18:17 +00:00
Commented Nov 10, 2009 at 0:18
@Frank, looks like it requires 10,000 distance calculations when picking images with similar histogram out of 10,000 candidates? is it possible to associate numeric values with each image and store them in database thus comparison can be simplified to some sql queries?

jack
– jack

2009-11-10 01:55:41 +00:00
Commented Nov 10, 2009 at 1:55
@jack, 10,000 calcs isn't really that expensive. The best way to speed up code like this is not to reduce the histograms into integers (which can't be done the way you think) but to simply cache the results. Cache the sort order (per image) in the database or cache it in memory. Make sure you also store the histogram in the database or in memory so that rebuilding those sort order caches isn't expensive.

Frank Krueger
– Frank Krueger

2009-11-10 02:07:34 +00:00
Commented Nov 10, 2009 at 2:07

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