deletions | additions       diff --git a/subsection_Segmenting_the_Infected_Part__.tex b/subsection_Segmenting_the_Infected_Part__.tex  index b9de094..2d0b069 100644  --- a/subsection_Segmenting_the_Infected_Part__.tex  +++ b/subsection_Segmenting_the_Infected_Part__.tex 
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\subsection{Segmenting the Infected Part of the Fruit}  We adopted the work of Dubey et al. Dubey's  \cite{dubey2013infected}to segment the infected part of the fruit. Their  solution of usingthe  K-Means algorithm for image segmentation is fast, simple, a simple  and straightforward. straightforward image segmentation.  %%Following their work, we converted the image from the RGB color space to the L*a*b* color space. Commission Internationale d’Eclairage (CIE) designed the L*a*b* color space to match how humans perceive differences in color and luminance \cite{szeliski2010computer}, thus making it a good color space for computing distances. It is composed of a luminosity or lightness dimension (L*) and two chromaticity or color dimension (a*b*). Isolating the color information to two dimensions (in L*a*b*) makes it computationally more efficient than having the color information spread to three dimensions (in RGB) \cite{dubey2013infected}. %%