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view util/ksvd utils/im2colstep.m @ 81:a30e8bd6d948
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author | Ivan <ivan.damnjanovic@eecs.qmul.ac.uk> |
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date | Mon, 28 Mar 2011 17:35:01 +0100 |
parents | c3eca463202d |
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%IM2COLSTEP Rearrange matrix blocks into columns. % B = IM2COLSTEP(A,[N1 N2]) converts each sliding N1-by-N2 block of the % 2-D matrix A into a column of B, with no zero padding. B has N1*N2 rows % and will contain as many columns as there are N1-by-N2 neighborhoods in % A. Each column of B contains a neighborhood of A reshaped as NHOOD(:), % where NHOOD is a matrix containing an N1-by-N2 neighborhood of A. % % B = IM2COLSTEP(A,[N1 N2],[S1 S2]) extracts neighborhoods of A with a % step size of (S1,S2) between them. The first extracted neighborhood is % A(1:N1,1:N2), and the rest are of the form A((1:N1)+i*S1,(1:N2)+j*S2). % Note that to ensure coverage of all A by neighborhoods, % (size(A,i)-Ni)/Si must be whole for i=1,2. The default function behavior % corresponds to [S1 S2] = [1 1]. Setting S1>=N1 and S2>=N2 results in no % overlap between the neighborhoods. % % B = IM2COLSTEP(A,[N1 N2 N3],[S1 S2 S3]) operates on a 3-D matrix A. The % step size [S1 S2 S3] may be ommitted, and defaults to [1 1 1]. % % Note: the call IM2COLSTEP(A,[N1 N2]) produces the same output as % Matlab's IM2COL(A,[N1 N2],'sliding'). However, it is significantly % faster. % % See also COL2IMSTEP, IM2COL, COUNTCOVER. % Ron Rubinstein % Computer Science Department % Technion, Haifa 32000 Israel % ronrubin@cs % % August 2009