Talk:Otsu's method

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I'v changed from Category:Computer vision to Category:Computer vision stubs since this articles needs mora material to make it readable.--KYN 07:01, 22 March 2006 (UTC)

[edit] A Better Description

I thought this was a good description from the web - since the actual paper by Otsu is pre-internet:

http://sampl.ece.ohio-state.edu/EE863/2003/ee863-9.ppt

The thresholds are exhaustively searched (there are only 254 possible for greyscale images). For each threshold, Otsu aims to minimize variance*probability of points less than threshold + the variance*probability of the remaining points. This minimizes within-class variance, and maximizes between-class variance.

In practice the variances are not actually computed, because a marginally more efficient incremental method was suggested by Otsu.

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