Timeline for Why Normalized Cross Correlation Score of different templates is high?
Current License: CC BY-SA 3.0
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| Dec 17, 2014 at 21:56 | comment | added | Peter K.♦ | Right. I'm wondering if the diff operation is causing too much change to the template compared with the image. Perhaps look at using a high-pass filter as the aim is to make the spectrum "whiter" (closer to uniform across all frequencies). The whiter the spectrum, the narrower the image's autocorrelation, so the bigger difference between matching and non-matching areas. | |
| Dec 17, 2014 at 15:36 | comment | added | Muhammet Ali Asan | Thank you.But after 1st operation difference between matching and non-matching regions are being clear. As for 2nd operation it is distorting the image and template matching.If I am not missing "diff the rows from each other" means subtract previous row from a row,right? | |
| Dec 17, 2014 at 13:35 | comment | added | Peter K.♦ | The trouble with histogram equalization is that it will make the statistics of everything look the same. That may be a bad thing if you're using NCC. Try some simpler pre-processing of the image: 1) remove the mean. 2) do a simple whitening (e.g. diff the rows from each other). What you're aiming for is to make the template look as different from the rest of the image as possible. | |
| Dec 17, 2014 at 13:12 | comment | added | Muhammet Ali Asan | @PeterK. I am applying histogram equalization.Also I am applying this operation to Local Binary Patterns image of image.LBP should be independent of light. | |
| Dec 17, 2014 at 12:39 | comment | added | Peter K.♦ |
Without seeing them, my guess is that you're not subtracting the mean. See pre-whitening : sites.google.com/site/kootsoop/prewhitening
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| Dec 17, 2014 at 12:31 | review | First posts | |||
| Dec 17, 2014 at 12:42 | |||||
| Dec 17, 2014 at 12:30 | history | asked | Muhammet Ali Asan | CC BY-SA 3.0 |