Howtosignalprocessing
- What do the Gabor filter parameters mean?
- What are log Gabor filter and why are they good?
- What is Gabor feature extraction?
- What is Gabor filter bank?
What do the Gabor filter parameters mean?
There are basically 2 parameters defining the shape of a Gabor filter. One parameter (often denoted with sigma) defines the standard deviation of the Gaussian envelope whereas another parameter (often denoted with omega) represents the wavelength of the sinusoidal plane wave.
What are log Gabor filter and why are they good?
The Log-Gabor filter is able to describe a signal in terms of the local frequency responses. Because this is a fundamental signal analysis technique, it has many applications in signal processing. Indeed, any application that uses Gabor filters, or other wavelet basis functions may benefit from the Log-Gabor filter.
What is Gabor feature extraction?
Features are extracted directly from gray-scale character images by Gabor filters which are specially designed from statistical information of character structures. An adaptive sigmoid function is applied to the outputs of Gabor filters to achieve better performance on low-quality images.
What is Gabor filter bank?
Gabor filters provides both Frequency -stationary and periodic structure- and Spatial locality. Allow analysis of difference spatial variation. Motivated by studies of human perception, Gabor filters is proposed as a texture-segmentation model.
