j'ai rajouté une figure avec l'erreur, la valeur du milieu est interpolée :-)

[canny.git] / experiments.tex

diff --git a/experiments.tex b/experiments.tex
index 61d2971c734c41e789c2f37229ca282a67b53b58..6d65b818b445f0668a0471e31706ee76392eb6f7 100644 (file)
--- a/experiments.tex
+++ b/experiments.tex
@@ -216,3 +216,13 @@ However due to its huge number of integration features, it is not lightweight.
 All these numerical experiments confirm 
 the objective presented in the motivations:
 providing an efficient steganography approach in a lightweight manner.
 All these numerical experiments confirm 
 the objective presented in the motivations:
 providing an efficient steganography approach in a lightweight manner.

+
+\RC{In Figure~\ref{fig:error}, Ensemble Classifier has been used with all the previsou steganalizers with 3 different payloads. It can be observed that with important payload, STABYLO is not efficient, but as mentionned its complexity is far more simple compared to other tools.\\
+\begin{figure}
+\begin{center}
+\includegraphics[scale=0.5]{error}
+\end{center}
+\caption{Error obtained by Ensemble classifier with WOW/UNIWARD, HUGO, and STABYLO and different paylaods.}
+\label{fig:error} 
+\end{figure}
+}