2-Gabor filter参数设置1
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Gaborfilter及参数
转自http://matlabserver.cs.rug.nl/edgedetectionweb/web/edgedetection_params.html
N. PetkovandM.B. Wieling,University of Groningen,
Department of Computing Science,Intelligent Systems
This page contains explanations concerning asimulation programavailable on internet.
On this site you can: visualize Gabor functions, use a Gabor filter for edge detection and extraction of
texture features, simulate simple and complex cells (visual cortex), simulate non-classical receptive field
inhibition or surround suppression and use it for object contour detection, and explain certain visual
perception effects.
Explanation of parameters
Gabor filtering
This block implements one or multiple convolutions of an input image with a two-dimensional Gabor function:
equation 1.1
To visualize a Gabor function select the option "Gabor function" under "Output image". The Gabor function for
the specified values of the parameters "wavelength", "orientation", "phase offset", "aspect ratio", and
"bandwidth" will be calculated and displayed as an intensity map image in the output window. (Light and dark
gray colors correspond to positive and negative function values, respectively.) The image in the output widow
has the same size as the input image: select, for instance, input image octagon.jpg to get an output image of
size 100 by 100. If lists of values are specified under "orientation(s)" and "phase offset(s)", only the first
values in these lists will be used.
Two-dimensional Gabor functions were proposed by Daugman[1]to model the spatial summation properties (of
the receptive fields) of simple cells in the visual cortex. They are widely used in image processing, computer
vision, neuroscience and psychophysics. The parametrisaton used in Eq.(1) follows references[2-7]where
further details can be found.
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