% !TEX root = ../main.tex
\chapter{Related Work} \label{ch:reated_work}

In this chapter, we give an overview of graph-based algorithms
for image segmentation.
In \cref{sec:rw_hc} we discuss hierarchical clustering 
methods.
Watershed methods are explained in \cref{sec:rw_watershed_methods}.
In \cref{sec:energy_based_methods} we will discuss
several energy based methods, show prototypical energy functions, and
will give a brief overview how these energy functions can
be optimized.




%\section{Multicut}\label{sec:rw_multicut}
%\input{Chapters/ChapterRelatedWorkSections/SectionMulticut} 

%\section{Hierarchical Clustering}\label{sec:rw_hc}
\input{Chapters/ChapterRelatedWorkSections/SectionHCluster} 

%\section{Watershed Methods}\label{sec:rw_watershed_methods}
\input{Chapters/ChapterRelatedWorkSections/SectionWatersheds} 

%\section{Energy Based Methods}\label{sec:energy_based_methods}
\input{Chapters/ChapterRelatedWorkSections/SectionEnergyBased} 

%\section{MST Methods}\label{sec:rw_mst_methods}
%\input{Chapters/ChapterRelatedWorkSections/SectionMstMethods} 

%\section{Random Walker}\label{sec:rw_random_walker}
%\input{Chapters/ChapterRelatedWorkSections/SectionRandomWalker} 





%\section{Normalized Cuts}
