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using convol with 2D image and 1D kernel [message #37201]

Sat, 29 November 2003 09:08

lunde
Messages: 2
Registered: November 2003

Junior Member

Hello, I was wondering what the convol(array,kernel) function does
when it is given a 2D array and a 1D kernel ?

I have run through "Example 2" for the digital_filter() function,
in which the 2D array "mandril" is convolved with the 1D array
"filter" (in Reference Volume 1):

mandril = bytarr(512,512)
...
mandril = float(mandril)
filter = digital_filter(0.0,0.1,50,10)
filt_image = convol(mandril,filter)

I can see that the image is smoothed, but did convol()
1) take the 1D kernel of size 1x21 and run it over the image, where
the result at each point is only influenced by points in the
horizontal direction,
OR
2) take the 1D kernel and transform it into some 2D kernel of
dimension 21x21, and run that over the image, where the result is
now influenced by points in both the horizontal and vertical
directions ?

Thanks for any insight, Bruce

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