Package gov.nih.mipav.model.algorithms.filters

This algorithm anisotropically diffuses an image.

Attenuate around the boundary of an object defined by a VOI in an image volume.

This algorithm uses a hypercomplex filter to find the edges between a region of two user specified colors.

These are Maximum Homogeneity Neighbor Filters.

Processing images by filtering in the frequency domain is a 3 step process: 1.)

References: 1.)

AlgorithmFrequencyFilterColor.java.

This algorithm performs minimization of fuzziness, a reduction of the amount of fuzziness.

Calculates the gaussian blur of an image at a scale defined by the user (using separable convolutions).

Calculates the gradient magnitude of an image at a scale defined by the user.

The MIT License (MIT) Copyright (c) 2014 Atilim Cetin Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

Calculates the Laplacian of the gaussian of an image at a scale defined by the user.

Local Normalisation equalises colour levels among pixels by removing variations due to lighting; this brings out contrasts in detail.

Algorithm to apply a median filter to an image, placing it in a new ModelImage, or returning the changed picture to the same image.

Performs morphological filtering on black and white images.

This is a port of the SUSAN Nonlinear Noise reduction program.

This is a port of the 09/03/2006 NLmeansfilter.m and UNLmeansfilter2.m on 02/15/2008 by Jose Vicente Manjon Herrera & Antoni Buades.

This algorithm traces the prostate boundary from the target image, non prostate binary mask image and prostate boundary binary mask image.

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This class save the Coherence Enhanced Diffusion (CED) 2D slice based features, which are Hurst index and Haralick features.

This "rice-wlet-tools", version 2.4 Released - CONDITIONS FOR USE: Copyright (c) 2000 RICE UNIVERSITY.

This algorithm averages together slices of a 3D image.

This class recalculates mo and dceFullTre to provide better estimates using the inverse Ernst equation

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Calculates the Unsharp Mask of an image at a scale defined by the user ( unsharp image = original image - weight * blurred image); weight

In hard thresholding a wavelet coefficient whose magnitude is below the product of threshold and the maximum wavelet magnitude is zeroed, and a wavelet coefficient whose magnitude is greater than or equal to the product is left unchanged.

This FFT should only be used when it is necessary to perform a N-dimensional FFT on non-power of two data without adding padding.

This is a port of multi_guided_est.py by Yiqian Wang.

Copyright (c) 2006-2012 Filip Wasilewski Copyright (c) 2012-2017 The PyWavelets Developers Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.