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Recursive generalized convolution on 2D images

The pattern loops over all pixels in the image and performs a recursive generalized convolution in the neighbourhood of each pixel. The result is written to the corresponding position in the same image.

A generalized convolution is like a convolution but the multiplication and addition steps are replaced with functors. The functors are called gMul (for generalized multiplication) and gAdd (for generalized addition).

Instantiations of the pattern are invoked via

• HxImageRep::recGenConv

Instantiation is done via the HxImgFtorRecGenConv2d functor, with the following template parameters:

• ImgSigT is the signature type of the source/destination image
• KerImgSigT is the signature type of the kernel image
• PixOpT is the type of the pixel combining functor
• RedOpT is the type of the pixel reducing functor

Example(s):

• instantiation : HxInstRecGenConv2dAddMin_c, usage : HxDistanceTransform

For further reference :

• Method frame : HxMfGenConv
• HxImageData member : HxImageData::recGenConv

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