The first test (\RefFig{fig:synth}) compares the performance of both
detectors on a set of 1000 synthesized images containing 10 randomly
placed straight segments with random width between 1 and 4 pixels.
Altough this perfect world context with low gradient noise tends to soften
the old detector weaknesses, the results of \RefTab{tab:synth} show slightly
better measurements of width and angle on long segments for the new detector.
The new detector generates more small segments that degrade the angle
estimations, but it produces a smaller amount of false detections and
succeeds in finding most of the segments.
\begin{figure}[h]
%\center
  \begin{tabular}{
      c@{\hspace{0.1cm}}c@{\hspace{0.1cm}}c@{\hspace{0.1cm}}c@{\hspace{0.1cm}}c}
    \includegraphics[width=0.19\textwidth]{Fig_synth/statsExample.png} &
    \includegraphics[width=0.19\textwidth]{Fig_synth/statsoldPoints.png} &
    \includegraphics[width=0.19\textwidth]{Fig_synth/statsoldBounds.png} &
    \includegraphics[width=0.19\textwidth]{Fig_synth/statsnewPoints.png} &
    \includegraphics[width=0.19\textwidth]{Fig_synth/statsnewBounds.png}
    \begin{picture}(1,1)
      \put(-310,0){1)}
      \put(-240,0){2)}
      \put(-170,0){3)}
      \put(-100,0){4)}
      \put(-30,0){5)}
    \end{picture}
  \end{tabular}
  \caption{Evaluation on synthesized images:
           1) one of the test images,
           2) output segments points from the old detector and
           3) their minimal digital straight segments,
           4) output segments points from the new detector and
           5) their minimal digital straight segments.}
  \label{fig:synth}
\end{figure}
\begin{table}
\centering
\input{Fig_synth/statsTable}
\caption{Measured performance of both detectors on a set of synthesized images.}
\label{tab:synth}
\end{table}