initial sd-vbs

initial sd-vbs

add sd-vbs

sd-vbs

1 files changed, 37 insertions, 0 deletions

diff --git a/SD-VBS/common/toolbox/toolbox_basic/textons/find_textons1.m b/SD-VBS/common/toolbox/toolbox_basic/textons/find_textons1.m
new file mode 100755
index 0000000..b192015
--- /dev/null
+++ b/SD-VBS/common/toolbox/toolbox_basic/textons/find_textons1.m
@@ -0,0 +1,37 @@
+function [centers,label,post,d2]=find_textons(fv,ncenters,centers_in,n_iter);
+% [centers,label,post,d2]=find_textons(FIw,ncenters,centers_in,n_iter);
+% 
+% find textons using kmeans for windowed portion FIw of filtered image 
+%
+% to start with centers pulled randomly from image, set centers_in=[]
+
+[N1,N2] =size(fv);
+
+% take centers randomly from within image
+if isempty(centers_in)
+   rndnum=1+floor(N1*rand(1,ncenters));
+   centers_in=fv(rndnum,:);
+end
+
+options = foptions;
+options(1)=1;           % Prints out error values.
+options(5) = 0;
+if nargin<4
+   n_iter=15;
+end
+options(14) = n_iter;           % Number of iterations.
+
+[centers,options,d2,post]=kmeans2(centers_in,fv,options);
+
+
+% retrieve cluster number assigned to each feature vector
+[minval,label]=min(d2,[],2);
+
+
+h = hist(label(:),[1:max(label(:))]);
+a = h>0;
+a = cumsum(a);
+
+[nr,nc] = size(label);
+label = reshape(a(label(:)),nr,nc);
+