matlab removed

1 files changed, 0 insertions, 58 deletions

diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/histo.m b/SD-VBS/benchmarks/texture_synthesis/src/matlab/histo.m
deleted file mode 100755
index 8da36e5..0000000
--- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/histo.m
+++ /dev/null
@@ -1,58 +0,0 @@
-% [N,X] = histo(MTX, nbinsOrBinsize, binCenter);
-%
-% Compute a histogram of (all) elements of MTX.  N contains the histogram
-% counts, X is a vector containg the centers of the histogram bins.
-%
-% nbinsOrBinsize (optional, default = 101) specifies either
-% the number of histogram bins, or the negative of the binsize.
-%
-% binCenter (optional, default = mean2(MTX)) specifies a center position
-% for (any one of) the histogram bins.
-%
-% How does this differ from MatLab's HIST function?  This function:
-%   - allows uniformly spaced bins only.
-%   +/- operates on all elements of MTX, instead of columnwise.
-%   + is much faster (approximately a factor of 80 on my machine).
-%   + allows specification of number of bins OR binsize.  Default=101 bins.
-%   + allows (optional) specification of binCenter.
-
-% Eero Simoncelli, 3/97.
-
-function [N, X] = histo(mtx, nbins, binCtr)
-
-%% NOTE: THIS CODE IS NOT ACTUALLY USED! (MEX FILE IS CALLED INSTEAD)
-
-%fprintf(1,'WARNING: You should compile the MEX version of "histo.c",\n         found in the MEX subdirectory of matlabPyrTools, and put it in your matlab path.  It is MUCH faster.\n');
-
-mtx = mtx(:);
-
-%------------------------------------------------------------
-%% OPTIONAL ARGS:
-
-[mn,mx] = range2(mtx);
-
-if (exist('binCtr') ~= 1) 
-  binCtr =  mean(mtx);
-end
-
-if (exist('nbins') == 1) 
-  if (nbins < 0)
-    binSize = -nbins;
-  else
-    binSize = ((mx-mn)/nbins);
-    tmpNbins = round((mx-binCtr)/binSize) - round((mn-binCtr)/binSize);
-    if (tmpNbins ~= nbins)
-      warning('Using %d bins instead of requested number (%d)',tmpNbins,nbins);
-    end
-  end
-else
-  binSize = ((mx-mn)/101);
-end
-
-firstBin = binCtr + binSize*round( (mn-binCtr)/binSize );
-
-tmpNbins = round((mx-binCtr)/binSize) - round((mn-binCtr)/binSize);
-
-bins = firstBin + binSize*[0:tmpNbins];
-
-[N, X] = hist(mtx, bins);