[730] | 1 | % 'ima_filter': example of image transform with input parameters: low-pass filter of an image
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[574] | 2 |
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| 3 | %------------------------------------------------------------------------
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[730] | 4 | %%%% Use the general syntax for transform fields with a single input and parameters %%%%
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[574] | 5 | % OUTPUT:
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| 6 | % DataOut: output field structure
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[810] | 7 | %
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[574] | 8 | %INPUT:
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[730] | 9 | % DataIn: input field structure
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| 10 | % Param: matlab structure whose field Param.TransformInput contains the filter parameters
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| 11 | %-----------------------------------
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| 12 |
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[810] | 13 | %=======================================================================
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[924] | 14 | % Copyright 2008-2016, LEGI UMR 5519 / CNRS UGA G-INP, Grenoble, France
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[810] | 15 | % http://www.legi.grenoble-inp.fr
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| 16 | % Joel.Sommeria - Joel.Sommeria (A) legi.cnrs.fr
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| 17 | %
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| 18 | % This file is part of the toolbox UVMAT.
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| 19 | %
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| 20 | % UVMAT is free software; you can redistribute it and/or modify
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| 21 | % it under the terms of the GNU General Public License as published
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| 22 | % by the Free Software Foundation; either version 2 of the license,
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| 23 | % or (at your option) any later version.
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| 24 | %
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| 25 | % UVMAT is distributed in the hope that it will be useful,
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| 26 | % but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 27 | % MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 28 | % GNU General Public License (see LICENSE.txt) for more details.
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| 29 | %=======================================================================
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| 30 |
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[956] | 31 | function DataOut=ima_filter(DataIn)
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[753] | 32 |
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[956] | 33 | Origin_x=469;
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[730] | 34 | DataOut=DataIn; %default
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[956] | 35 | DataOut.A=
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[730] | 36 |
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[40] | 37 | %definition of the cos shape matrix filter
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[730] | 38 | ix=[1/2-Param.TransformInput.FilterBoxSize_x/2:-1/2+Param.TransformInput.FilterBoxSize_x/2];%
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| 39 | iy=[1/2-Param.TransformInput.FilterBoxSize_y/2:-1/2+Param.TransformInput.FilterBoxSize_y/2];%
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| 40 | %del=np/3;
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[40] | 41 | %fct=exp(-(ix/del).^2);
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[730] | 42 | fct2_x=cos(ix/((Param.TransformInput.FilterBoxSize_x-1)/2)*pi/2);
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| 43 | fct2_y=cos(iy/((Param.TransformInput.FilterBoxSize_y-1)/2)*pi/2);
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[40] | 44 | %Mfiltre=(ones(5,5)/5^2);
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[730] | 45 | Mfiltre=fct2_y'*fct2_x;
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[40] | 46 | Mfiltre=Mfiltre/(sum(sum(Mfiltre)));%normalize filter
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| 47 |
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[730] | 48 | Atype=class(DataIn.A);% detect integer 8 or 16 bits
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[93] | 49 | if numel(size(DataIn.A))==3
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| 50 | DataOut.A=filter2(Mfiltre,sum(DataIn.A,3));%filter the input image, after summation on the color component (for color images)
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| 51 | DataOut.A=uint16(DataOut.A); %transform to 16 bit images
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| 52 | else
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| 53 | DataOut.A=filter2(Mfiltre,DataIn.A)
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| 54 | DataOut.A=feval(Atype,DataOut.A);%transform to the initial image format
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| 55 | end
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[810] | 56 |
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