Laplacian of Gaussian - Mask size, normalisation factor
- From: "jedi200581@xxxxxxxxxxx" <jedi200581@xxxxxxxxxxx>
- Date: Mon, 11 Jul 2005 20:46:38 +0200
Hey,
I'm looking to implement an edge detector based on a LoG. I found some documentation, but all this seems very theorical.
First, look at : http://www.cee.hw.ac.uk/hipr/html/log.html (first page on google). I you try to apply the formula for sigma = 1,4 and x = 0, you don't find what they have figure 3 at all!!! Is this a huge scam or something ? They talk about this sonka, hlavac and boyle's book (Image Processing, Analysis and Machine Vision). It's good, but they don't talk about the details!
Anyway, from this formula, how to you determine a normalisation factor ? The normalization factor depends on the mask size you want. But how the mask size influence the LoG operator. It gives the algorithm the power to raise bigger edges in the image and ignoring smaller ones if I'm not stupid. But the mask size is also influenced by the sigma you're choosing!
If anybody have any directions to give me, a paper, or some links on internet which talk about a real-world implementation of a LoG, let me know.
Thanks!
JD .
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