segoutput.m

该文件是用matlab开发的图论分析工具箱

function [imgMasks,segOutline,imgMarkup]=segoutput(img,solution)
%Function [imgMasks,segOutline,imgMarkup]=segoutput(img,solution) 
%generates output for a Cartesian image with dimensions X/Y and a solution 
%conisiting of integer valued nodes indicating membership in a segment
%
%Inputs: img - Original image
%        solution - A 1xN vector assigning an integer to each node
%           indicating its membership in a segment
%
%Outputs: imgMasks - An image where every pixel is assigned an integer 
%           such that pixels sharing numbers belong to the same segment
%         imgMarkup - The same image as the inputs with the red channel 
%           set to 1 along the borders of segments
%         segOutline - A white background with black lines indicating the 
%           segments borders
%
%
%5/23/03 - Leo Grady

% Copyright (C) 2002, 2003 Leo Grady <[e-mail]>
%   Computer Vision and Computational Neuroscience Lab
%   Department of Cognitive and Neural Systems
%   Boston University
%   Boston, MA  02215
%
% This program is free software; you can redistribute it and/or
% modify it under the terms of the GNU General Public License
% as published by the Free Software Foundation; either version 2
% of the License, or (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program; if not, write to the Free Software
% Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.
%
% Date - $Id: segoutput.m,v 1.3 2003/08/21 17:29:29 lgrady Exp $
%========================================================================%

%Inputs
[X Y Z]=size(img);

%Build outputs
imgMasks=reshape(solution,X,Y);

%Outline segments
imgSeg=imgMasks;
if X*Y == 1
    [fx,fy]=deal([]);
elseif X == 1
    fx=[];
    fy=gradient(imgSeg);
elseif Y == 1
    fx=gradient(imgSeg);
    fy=[];    
else
    [fx,fy]=gradient(imgSeg);
end
xcont=find(fx);
ycont=find(fy);

segOutline=ones(X,Y);
segOutline(xcont)=0;
segOutline(ycont)=0;

imgMarkup=img(:,:,1);
imgMarkup(xcont)=1;
imgMarkup(ycont)=1;

if Z == 3
    imgTmp2=img(:,:,2);
    imgTmp2(xcont)=0;
    imgTmp2(ycont)=0;
    imgMarkup(:,:,2)=imgTmp2;
    imgTmp3=img(:,:,3);
    imgTmp3(xcont)=0;
    imgTmp3(ycont)=0;
    imgMarkup(:,:,3)=imgTmp3;
else
    imgTmp1=img(:,:,1);
    imgTmp1(xcont)=0;
    imgTmp1(ycont)=0;
    imgMarkup(:,:,2)=imgTmp1;
    imgMarkup(:,:,3)=imgTmp1;
end