DFT | Normal

Feb 11 2010

Morphology in Frequency Domain

Karthik Nadig

To put it simply,

$GrayScale(Image) \rightarrow DFT(Image) \rightarrow f(Image) \rightarrow IDFT(Image)$

Replace $f(Image) = f(x)$ by any of the functions from the following table, it also shows the effect of the function on the “Lenna” image. The images show effect of morphology or filter applied in the frequency domain.

Source Code: C++

f(x)	Processed Image
Dilate(x) : Morphological Dilate
Erode(x) : Morphological Erode
Open(x) : Morphological Open
Close(x) : Morphological Close
Gradient(x) : Morphological Gradient
Gaussian(x) : Simple Gaussian Blur