\hypertarget{a02511}{
\section{mln::canvas::labeling Namespace Reference}
\label{d0/d01/a02511}\index{mln::canvas::labeling@{mln::canvas::labeling}}
}


Namespace of labeling canvas.  


\subsection*{Namespaces}
\begin{DoxyCompactItemize}
\item 
namespace \hyperlink{a02512}{impl}


\begin{DoxyCompactList}\small\item\em Implementation namespace of labeling canvas namespace. \item\end{DoxyCompactList}

\end{DoxyCompactItemize}
\subsection*{Functions}
\begin{DoxyCompactItemize}
\item 
{\footnotesize template$<$typename I , typename N , typename L , typename F $>$ }\\mln::trait::ch\_\-value$<$ I, L $>$::ret \hyperlink{a02511_ac640801c42877065c0a550be24b2bbab}{blobs} (const \hyperlink{a00044}{Image}$<$ I $>$ \&input\_\-, const \hyperlink{a00296}{Neighborhood}$<$ N $>$ \&nbh\_\-, L \&nlabels, F \&functor)
\begin{DoxyCompactList}\small\item\em Canvas for connected component labeling of the binary objects of a binary image using a queue-\/based algorithm. \item\end{DoxyCompactList}\end{DoxyCompactItemize}


\subsection{Detailed Description}
Namespace of labeling canvas. 

\subsection{Function Documentation}
\hypertarget{a02511_ac640801c42877065c0a550be24b2bbab}{
\index{mln::canvas::labeling@{mln::canvas::labeling}!blobs@{blobs}}
\index{blobs@{blobs}!mln::canvas::labeling@{mln::canvas::labeling}}
\subsubsection[{blobs}]{\setlength{\rightskip}{0pt plus 5cm}template$<$typename I , typename N , typename L , typename F $>$ mln::trait::ch\_\-value$<$ I, L $>$::ret mln::canvas::labeling::blobs (
\begin{DoxyParamCaption}
\item[{const Image$<$ I $>$ \&}]{ input\_\-, }
\item[{const Neighborhood$<$ N $>$ \&}]{ nbh\_\-, }
\item[{L \&}]{ nlabels, }
\item[{F \&}]{ functor}
\end{DoxyParamCaption}
)\hspace{0.3cm}{\ttfamily  \mbox{[}inline\mbox{]}}}}
\label{d0/d01/a02511_ac640801c42877065c0a550be24b2bbab}


Canvas for connected component labeling of the binary objects of a binary image using a queue-\/based algorithm. 


\begin{DoxyParams}{Parameters}
\item[\mbox{\tt[in]} {\em input}]The input image. \item[\mbox{\tt[in]} {\em nbh}]The connexity of the objects. \item[\mbox{\tt[out]} {\em nlabels}]The Number of labels. Its value is set in the algorithms. \item[\mbox{\tt[in,out]} {\em functor}]A functor computing data while labeling.\end{DoxyParams}
\begin{DoxyReturn}{Returns}
The label image.
\end{DoxyReturn}
\begin{DoxyPrecond}{Precondition}
The input image has to be binary (checked at compile-\/time).
\end{DoxyPrecond}
A fast queue is used so that the algorithm is not recursive and can handle large binary objects (blobs). 

Definition at line 167 of file canvas/labeling/blobs.hh.

