what is Gabor wavelet transform in image processing?
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I searched a lot on internet about gabor wavelet transform. But all I get is mathematical explanation which I am not able to understand. Does Gabor filter and Gabor wavelet transform are one and same? Or they are different? I have to apply gabor wavelet transform for retinal blood segmentation. Can anyone help me to understand what actually it is? And guide me about how to apply it on retinal images. Does the following links are implementation of 2D gabor wavelet transform?
I am totally confused kindly help me.
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Md Khaled Hasan Zami
on 7 Apr 2020
Edited: Md Khaled Hasan Zami
on 7 Apr 2020
Images have smotth edges or abrupt edges. Fourier transforms are efficient but does not show efficiency sometimes.
Because, Fourier transforms are kind of sum of sine waves which are not localized is time and wave which means
the oscillates infinitely in time and space. This is why, space and time well localized something was need indeed.
This brings the "WAVELET". Wavelets are rapidly changing or plunging wave like oscillations which have a mean of zero.
The above figure is an wavelet. Unlike sine waves it hase locality in time and space. which means this oschillates finitely in time and spcace.
Now, gabour..Gabor wavelets are wavelets invented by Dennis Gabor using complex functions constructed to serve as a basis for Fourier transforms in information theory applications.
Or you can view https://en.wikipedia.org/wiki/Gabor_wavelet
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