Contents
What is a Gabor pattern?
In image processing, a Gabor filter, named after Dennis Gabor, is a linear filter used for texture analysis, which essentially means that it analyzes whether there is any specific frequency content in the image in specific directions in a localized region around the point or region of analysis.
What is a Gabor stimulus?
Gabor patches are stimuli that drive early visual activity in a controlled fashion. They look like a series of black and white bars, they can be oriented every which way, they can be made easily discernible or difficult to see, small or large, central or peripheral, rotating or stationary.
What are the characteristics of a Log Gabor filter?
There are two important characteristics to note. Firstly, log-Gabor functions, by definition, always have no DC component, and secondly, the transfer function of the log Gabor function has an extended tail at the high frequency end.
Is the transfer function of a Log Gabor function DC?
Firstly, log-Gabor functions, by definition, always have no DC component, and secondly, the transfer function of the log Gabor function has an extended tail at the high frequency end. Field’s studies of the statistics of natural images indicate that natural images have amplitude spectra that fall off at approximately 1/w.
Is there an alternative to the Gabor function?
However they have two main limitations. The maximum bandwidth of a Gabor filter is limited to approximately one octave and Gabor filters are not optimal if one is seeking broad spectral information with maximal spatial localization. An alternative to the Gabor function is the Log-Gabor function proposed by Field [1987].
How is the Gabor filter used in the space domain?
A Gabor filter in the space (or time) domain is formulated as a Gaussian envelope multiplied by a complex exponential. It was found that the cortical responses in the human visual system can be modeled by the Gabor filter. The Gabor filter was modified by Morlet to form an orthonormal continuous wavelet transform.