1 files changed, 0 insertions, 48 deletions

diff --git a/SD-VBS/benchmarks/texture_synthesis/src/matlab/imGradient.m b/SD-VBS/benchmarks/texture_synthesis/src/matlab/imGradient.m
deleted file mode 100755
index 23187e3..0000000
--- a/SD-VBS/benchmarks/texture_synthesis/src/matlab/imGradient.m
+++ /dev/null
@@ -1,48 +0,0 @@
-% [dx, dy] = imGradient(im, edges) 
-%
-% Compute the gradient of the image using smooth derivative filters
-% optimized for accurate direction estimation.  Coordinate system
-% corresponds to standard pixel indexing: X axis points rightward.  Y
-% axis points downward.  EDGES specify boundary handling (see corrDn
-% for options).
-
-% EPS, 1997.
-% original filters from Int'l Conf Image Processing, 1994.
-% updated filters 10/2003.
-% Added to matlabPyrTools 10/2004.
-
-function [dx, dy] = imGradient(im, edges) 
-
-%% 1D smoothing and differentiation kernels.
-%% See Farid & Simoncelli, IEEE Trans Image Processing, 13(4):496-508, April 2004.
-
-if (exist('edges') ~= 1)
-    edges = 'dont-compute';
-end
-
-gp = [0.037659 0.249153 0.426375 0.249153 0.037659]';
-gd = [-0.109604 -0.276691 0.000000 0.276691 0.109604]';
-
-dx = corrDn(corrDn(im, gp, edges), gd', edges);
-dy = corrDn(corrDn(im, gd, edges), gp', edges);
-
-return 
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-%%% TEST:
-
-%%Make a ramp with random slope and direction 
-dir = 2*pi*rand - pi;
-slope = 10*rand;
-
-sz = 32
-im = mkRamp(sz, dir, slope);
-[dx,dy] = imGradient(im);
-showIm(dx + sqrt(-1)*dy);
-
-ctr = (sz*sz/2)+sz/2;
-slopeEst = sqrt(dx(ctr).^2 + dy(ctr).^2);
-dirEst = atan2(dy(ctr), dx(ctr));
-
-[slope, slopeEst]
-[dir, dirEst]