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Talk:Image convolution: Difference between revisions
Border Handling: fixed "partial convolution" idea
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(Border Handling: fixed "partial convolution" idea) |
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==References==
I haven't been able to find the explanation of this technic on the English wikipedia.
There is an article about [http://en.wikipedia.org/wiki/Convolution convolution] but it does not talk at all about how to apply it on image processing. In the French area it is in this article:
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:--[[User:ShinTakezou|ShinTakezou]] 13:22, 17 December 2008 (UTC)
==Border Handling==
I don't know if this is common knowledge that I'm missing, but maybe the task should specify how to handle the border pixels. I think the standard method is padding the image with zeroes (or something of that equivalence) so that the convolution can be taken on all pixels. Some functions, like edge-detection, are benefited from the zero-padding. Others, like smoothing or blurring, are benefited more by not padding and not taking the convolution on the border pixels. Maybe the kernal matrix could be adapted on a step-by-step basis (at least for the border pixels) to still process the border, but normalize the weight of the valid pixels that will be processed (e.g. if on left edge and ker = [0.25 0.5 0.25] the kernal will be adjusted to [0 0.666 0.333] before taking convolution of those pixels).
I would suggest making it clear which should be used in the task, and perhaps make other options extra credit.--[[User:Ooorah|Ooorah]] ([[User talk:Ooorah|talk]]) 13:54, 30 June 2014 (UTC)
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