Re: How to do 2-D Gaussian convolution by 2 1-D convolution kernels?

Posted by panovr on
URL: http://imagej.273.s1.nabble.com/How-to-do-2-D-Gaussian-convolution-by-2-1-D-convolution-kernels-tp3698309p3698310.html

Hi,
> Convolution with a Gaussian will never result in something like a
> gradient-image, because it mmeans lowpass filtering. What you perhaps
> mean is convolution with "Difference of two Gaussians" (DOG) having
> different variances which results in lowpass-filtered Laplace-like
> operations.
  yes, my main objective is want to implement an image pyramids
structure, and it seems that Gaussian smoothing and "Difference of two
Gaussians" are used, and in order to improve computation efficiency,
separately Gaussian convolutions should be used. Any recommendations?
  Thanks!

--
Yili Zhao