Steerable 2D Gaussian derivative filter

25

Description

This function is a demonstration of steerable filters. The directional derivative of G in an arbitrary direction theta can be found by taking a linear combination of the directional derivatives dxG and dyG.

USAGE
filterSteerable( theta )

INPUTS
theta – orientation in radians

Difference of Gaussian (Dog) Filter

Creates an even/odd pair of 2D Gabor filter

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SKU: P2018F222_filter3 Category: