This plugin performs anisotropic diffusion filtering on 8-bit, 16-bit
and RGB images, with support for ROI and stacks. Processing can be
stopped by pressing Esc.
Dialog box parameters:
Number of iterations – Maximum number of complete iterations, default value is 20.
Smoothings per iteration – Number of smoothings by anisotropic Gaussian with 3×3 mask per iterations,
default value is 1. Size of the smoothing per one complete iteration is proportional to the square root of this number.
Keep each – Number of iterations between successive savings of the results. Default value is 20.
a1 (Diffusion limiter along minimal variations) – a1 influences the shape of the smoothing mask. f1(l1,l2)= (1.0+l1+l2)^-a1. The smoothing in each iteration is defined by a tensor (2×2 matrix), that is linear combination of tensors corresponding to minimal and maximal eigenvalue of structure tensor. f1 and f2 are weights of the tensors (see Tschumperle and Deriche, 2005).
a2 (Diffusion limiter along maximal variations) –. a2 influences the shape of the smoothing mask. f2(l1,l2)= (1.0+l1+l2)^-a2.
dt (Time step) – Default value is 20. The result of the filter is proportional to the step,
but too long time step yields numerical instability of the procedure.
Edge threshold height – Defines minimum “strength” of edges that will be preserved by the filter. Default value is 5.
Show filter stats – Display filter statistics for each iteration.
Show time stats – Display elapsed times.
Add labels – Add labels to output stack. Double click on the eye dropper tool to set the label color.
Author: Wayne Rasband (firstname.lastname@example.org) Date: 2000/05/31 Requirements: ImageJ 1.17j or later Limitations: Limited to square kernels and real images Source: Real_Convolver.java Installation: Download Real_Convolver.class to