Implement template$\_$matching$\_$SSD$.$m$,$ and try to find

the best threshold value for einstein$1.$jpg and einstein$2.$jpg $($save the output images as einstein$1\_$ssd$\_$output.jpg$,$ einstein$1\_$ssd$\_$match.jpg$,$ einstein$2\_$ssd$\_$output.jpg$,$ einstein$2\_$ssd$\_$match.jpg$)$

PLEASE DO THIS IN MatLab using the pseudocode below

lab$05\_$task$2.$m:

name $=$ 'einstein$1\text{'}$;

$\%$name $=$ 'einstein$2\text{'}$;

img $=$ im$2$double$($imread$($sprintf$(\text{'}\%$s$.$jpg$\text{'},$ name$)))$;

template $=$ im$2$double$($imread$(\text{'}$template$.$jpg$\text{'}))$;

$\%\%$ SSD

threshold $=???$;

$[$output$,$ match$]=$ template$\_$matching$\_$SSD$($img$,$template, threshold$)$;

figure, imshow$($output $./$ max$($output$($:$)))$; title$(\text{'}$SSD output'$)$;

figure, imshow$($match$)$; title$(\text{'}$SSD match'$)$;

imwrite$($output $./$ max$($output$($:$)),$

sprintf$(\text{'}\%$s$\_$ssd$\_$output.jpg$\text{'},$ name$))$;

imwrite$($match$,$ sprintf$(\text{'}\%$s$\_$ssd$\_$match.jpg$\text{'},$ name$))$;

template$\_$matching$\_$SDD$.$m:

for u $=1+$ shift$\_$u : size$($I$1,2)-$ shift$\_$u

for v $=1+$ shift$\_$v : size$($I$1,1)-$ shift$\_$v

x$1=???$; x$2=???$;

y$1=???$; y$2=???$;

patch $=$ I$1($y$1$:y$2,$ x$1$:x$2)$;

$\%$ SSD

value $=???$;

output$($v$,$ u$)=$ value;

end

end

match $=($output $<$ threshold$)$;