deletions | additions       diff --git a/section_Requirements_and_Instructions_Type__.tex b/section_Requirements_and_Instructions_Type__.tex  index a56f6c6..eb4dab4 100644  --- a/section_Requirements_and_Instructions_Type__.tex  +++ b/section_Requirements_and_Instructions_Type__.tex 
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biocLite("EBImage")  \end{lstlisting}  Download the code template (filename: ostu.R) and test images\iffalse{ from this link: \url{https://www.dropbox.com/s/swrj4h1dhe4lvlp/ST-STAT\%20MP\%20-\%20Otsu.zip?dl=0} }. } \fi.  The code template is implemented in R. There are already some scripts in the template that reads an image and separates the image according to the threshold that you computed. A template function for the Otsu method is already provided to help you get started. You may add as many additional functions and variables as you need but you may not use other packages aside from built in R packages, GUI packages, Graph Plotting packages, UsingR, and EBImage.