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📄 im2obj.m

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%IM2OBJ Convert Matlab images to dataset object%%  B = IM2OBJ(IM,A)%% INPUT%  IM  X*Y image, X*Y*K array of K images, or cell-array of images%  A   Input dataset%% OUTPUT%  B   Dataset with IM added%% DESCRIPTION% Add standard Matlab images, as objects, to an existing dataset A. If A is % not given, a new dataset is created. Images of type 'uint8' are converted% to 'double' and divided by 256.%% SEE ALSO% DATASETS, IM2FEAT, DATA2IM% Copyright: R.P.W. Duin, duin@ph.tn.tudelft.nl% Faculty of Applied Physics, Delft University of Technology% P.O. Box 5046, 2600 GA Delft, The Netherlands% $Id: im2obj.m,v 1.8 2003/10/09 09:31:07 bob Exp $function a = im2obj (im,a)	prtrace(mfilename);	if (isa(im,'cell'))		% If IM is a cell array of images, unpack it and recursively call IM2OBJ		% to add each image.		im = im(:);																	% Reshape to 1D cell array.		if (nargin < 2)			prwarning(4,'no dataset supplied, creating a new one');			a = dataset([]); 		end			for i = 1:length(im)			b = feval(mfilename,im{i});			if ~isempty(a) & any(a.objsize ~= b.objsize)				error('Images should have equal sizes')			end			a = [a; feval(mfilename,im{i})];		end	else		% If IM is an image or array of images, reshape it and add it in one go.		n = size(im,3); imsize = size(im); imsize = imsize(1:2);		% Convert to double, if necessary		if (isa(im,'uint8'))			prwarning(4,'image is uint8; converting to double and dividing by 256');			im = double(im)/256; 		end		% Reshape images to vectors and store as objects in dataset.		im = reshape(im,imsize(1)*imsize(2),n);		if (nargin > 1)			if (~isa(a,'dataset'))				error('second argument is not a dataset'); 			end			if (~isempty(a) & (imsize(1)*imsize(2) ~= getfeatsize(a)))				error('image size and dataset feature size do not match');			end			a = [a; im'];		else			a = dataset(im');			a = setfeatsize(a,imsize);		end	end	return

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