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📄 showim.m

📁 matlab最新统计模式识别工具箱
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function varargout = showim(img,img_size,placement)% SHOWIM Displays given image(s).%% Synopsis:%  h = showimg(img)%  h = showimg(img,img_size)%  h = showimg(img,img_size,placement)%% Description:%  It displays images to the current figure. It assumes that the %  images are represented as column vectors stored in the %  img [dim x num_img] where dim=height*width. %% Input:%  img [dim x num_img] Images store as column vectors of size%    dim = width*height.%  img_size [2 1] Image size img_size = [height, width]. The image%    size does have to be geving for rectangular images.%  placement [2 1] Determines the number of rows and columns%    in wich the images are displayed, palecement = [rows,columns].%    if not given then the placement is determined automatically.%% Output:%  h [1 x num_img] Handles of individual axes.%% (c) Statistical Pattern Recognition Toolbox, (C) 1999-2003,% Written by Vojtech Franc and Vaclav Hlavac,% <a href="http://www.cvut.cz">Czech Technical University Prague</a>,% <a href="http://www.feld.cvut.cz">Faculty of Electrical engineering</a>,% <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a>% Modificatrions:% 10-aug-2006, VF% 15-jun-2004, VF% 10-sep-2003, VF[dim,num_data]=size(img);if nargin < 2,  sr=sqrt(dim);  if fix(sr)==sr,     img_size = [sr,sr];   else     error('Not enough input arguments.');   endend%---------------------if num_data > 1,    if nargin >=3,    row = placement(1); col = placement(2);  else    col=floor(sqrt(4*num_data/3));    for i=max(1,fix(num_data/10)):fix(sqrt(num_data)),      if num_data/i == round(num_data/i),        col= num_data/i;        break;      end    end    row=ceil(num_data/col);  end  cnt=0;  h = [];  while cnt < num_data,    cnt=cnt+1;    h = [h, subplot(row,col,cnt)];        showim(img(:,cnt),img_size);  end  else  h = imshow(reshape(img,img_size(1),img_size(2)),[]);endif nargout > 0,  varargout{1} = h;endreturn;

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