initial sd-vbs

initial sd-vbs

add sd-vbs

sd-vbs

1 files changed, 50 insertions, 0 deletions

diff --git a/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m b/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m
new file mode 100755
index 0000000..e5fa7b8
--- /dev/null
+++ b/SD-VBS/benchmarks/tracking/src/matlab/imageResize.m
@@ -0,0 +1,50 @@
+function [imageOut] = imageResize(imageIn)
+
+ imageIn = double(imageIn);
+ imsize = size(imageIn);
+ rows = imsize(1);
+ cols = imsize(2);
+ 
+ %% level 1 is the base image.
+ 
+ outputRows = floor((rows+1)/2);
+ outputCols = floor((cols+1)/2);
+ 
+ kernel = [1,4,6,4,1];
+ kernelSize = 5;
+ 
+ temp = zeros(rows, outputCols);%initalize output image to all zeros
+ imageOut = zeros(outputRows, outputCols);%initalize output image to all zeros
+ imageIn = double(imageIn);%convert to double to allow image arithmetic
+ 
+ initialCol = 3;        %((kernelSize+1)/2);
+ endCol = cols - 2;     %round(cols - ((kernelSize+1)/2));
+ halfKernel = 2;        %(kernelSize-1)/2;
+ 
+ initialRow = 3;        %((kernelSize+1)/2);
+ endRow = rows - 2;     %(rows - ((kernelSize+1)/2));
+
+ %% Start 1-D filtering row-wise first.
+ 
+ for i=initialRow:endRow
+     k = 1;
+     for j=initialCol:2:endCol
+         temp(i,k) = sum(imageIn(i,j-halfKernel:j+halfKernel).*kernel)/sum(kernel);%actual filtering step
+         k = k+1;
+     end
+ end
+ 
+ %imshow(uint8(temp));
+ 
+ %% Start 1-D filtering col-wise first.
+% 
+ kernelT = kernel';
+ j = 1;
+ for i=initialRow:2:endRow
+     for k=1:outputCols
+         imageOut(j,k) = sum(temp(i-halfKernel:i+halfKernel,k).*kernelT)/sum(kernel);%kernel to be transposed for performing multiplcation
+     end
+     j = j + 1;
+ end
+ 
+% %imshow(uint8(imageOut));