Too many input arguments IMRESIZE

Question

Kevin Akash Rajasekaran 2021-5-18

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/832723-too-many-input-arguments-imresize

评论： Kevin Akash Rajasekaran 2021-5-18

Hey all! I'm using a custom built code to resize and format an image from a database, such that the final result is in grayscale and at 1920x1080 resolution, with corrected luminance and other properties. etc. The code is given below

function img = getImg(rec,width,height,screen,varargin)
  % retrieve the image (rec) from the UT natural scene collection, down
  % sampling to the monitor resolution... this should preserve the overall
  % dimensions (in deg.) and therefore preserve the spatial frequency
  %
  % inputs:
  %
  %   rec - a record from the geisler image db
  %   width - final width of the image (deg.)
  %   height - final height of the image (deg.)
  %   screen - a struct containing screen resolution (pixels) and size (deg.)
  %
  % the screen struct should contain fields as follows:
  %
  %   xpixels - screen width in pixels
  %   ypixels - screen height in pixels
  %   width - screen width in deg.
  %   height - screen height in deg. 
  %
  % optional parameters:
  %
  %   clip - clipping limits as percentiles of the luminance histogram (default: [2,99[)
  %   pad - padding method, 'none' or 'mean' (default: 'mean')
  
  % parse arguments
  p = inputParser();
  p.addParameter('clip',[2,99],@(x) validateattributes(x,{'numeric'},{'positive','numel',2,'>=',1,'<=',100})); % as per Geisler and Perry, 2011.
  p.addParameter('pad','mean',@(x) ~isempty(x) & ismember(lower(x),{'none','mean','noise'}))
  
  p.parse(varargin{:});
  args = p.Results;
  %
  
  img = imgdb.geisler.load(rec,'colorMode','lum');
    
  pat = '(?<deg>[.\d]+).*\((?<m>[.\d]+).*'; % field of view in deg. and meters
  fov = regexp(rec.meta.Field_Of_View,pat,'names');
  fov = str2double(fov.deg);
  
  ippd = size(img,2)/fov; % image pixels/deg.
  
  sppd = screen.xpixels/screen.width; % screen pixels/deg.
  
  img = imresize(img,sppd/ippd,'method','bicubic','antialiasing',true);  
  
  % clip...?
  %
  % the image histograms have long tails on the high end. Here we extend
  % the dynamic range by clipping the tails of the distribution. By default
  % we clip 2% of pixels at the low end and 1% of pixels at the high end.
  %
  % See Geisler and Perry, JoV, 2011.
  if ~isempty(args.clip)
    lim = prctile(img(:),args.clip);
    img = min(max(img - lim(1),0.0)./(lim(2)-lim(1)),1.0);
  end
  
  % pad...?
  [yimg,ximg] = size(img);
  
  % size on screen (pixels)
  xscr = floor(width*screen.xpixels/screen.width);
  yscr = floor(height*screen.ypixels/screen.height);
  
  if xscr > ximg || yscr > yimg
    nx = max(xscr,ximg); ny = max(yscr,yimg);
    mn = mean(img(:));
    sd = std(img(:)); % rms contrast
    switch lower(args.pad)
      case 'none'
        return
      case 'mean'
        % pad with mean luminance...
        z = mn*ones([ny,nx]);
      otherwise
        error('Padding with %s is not supported.',args.pad);
    end
        
    z(1:yimg,1:ximg) = img;
    img = circshift(z,[floor((ny-yimg)/2),floor((nx-ximg)/2)]);
  end
    
%   img = real(img.^(1/2.2)); % ghetto gamma - for testing only 
end

I call the above function through

img = freeviewing.analysis.getImg(rec,56.9781,32.0502,screen);

where 'rec and 'screen' are both structs containing info about the image. The error supposedly occurs at line 44, giving the following,

Error using imresize
Too many input arguments.
Error in freeviewing.analysis.getImg (line 44)
  img = imresize(img,sppd/ippd,'method','bicubic','antialiasing',true);