[Insight-users] ConvolutionImageFilter only works with scalar images?

[Gelas, Arnaud Joel Florent]

>________________________________________
>From: David Doria [daviddoria at gmail.com]
>Sent: Saturday, December 04, 2010 4:15 PM
>To: Gelas, Arnaud Joel Florent
>Cc: ITK
>Subject: Re: [Insight-users] ConvolutionImageFilter only works with scalar images?
>
>On Sat, Dec 4, 2010 at 4:06 PM, Gelas, Arnaud Joel Florent
><Arnaud_Gelas at hms.harvard.edu> wrote:
>> Hi David,
>>
>> The problem with this filter is that the kernel image is of the same type as the input image.
>> I guess this filter needs an additional template argument for the kernel image (a scalar image), like this the input image could theoretically be of any type (scalar, vector, tensor) ?
>>
>> Arnaud
>
>If the KernelType was set to a scalar, what you suggest would do the
>trick (there would be a scalar multiplication of each Image pixel).
>However, if you want to convolve an RGB image with another RGB image,
>this still doesn't make sense, right? The channels would have to be
>convolved separately (because RGBPixel * RGBPixel should be
>interpreted as Rout = R1 * R2, Gout = G1*G2, Bout = B1*B2, and that
>idea isn't the behavior of the itk::CovariantVector '*' operator).
>
>David

I see what you mean, I thought you wanted to apply the same kernel to each channel...