April 2020
Intermediate to advanced
438 pages
12h 2m
English
Content preview from Python Image Processing Cookbook
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How it works...
From skimage.filters, use the gabor_kernel() function to return the complex two-dimensional Gabor filter kernel.
The Gabor kernel is a Gaussian kernel multiplied (modulated) by a (complex) harmonic function, consisting of a real cosine and an imaginary sine term.
The frequency parameter to the function represents the spatial frequency of the harmonic (in pixels).
The frequency is ∞ 1/wavelength and is also inversely proportional to σ. Similarly, the bandwidth is ∞ 1/σ, where σ is the standard deviation of a Gaussian kernel.
The θ parameter represents the orientation in radian (for example, θ =0 implies that the harmonic is oriented toward the x direction).
The bandwidth parameter represents the bandwidth that the Gabor filter ...
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