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Taddeüs Kroes
uva
Commits
46080cc2
Commit
46080cc2
authored
Oct 09, 2011
by
Sander Mathijs van Veen
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ImProc: added 'visually comparing of the results'.
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improc/ass3/report/1-2-3.jpg
improc/ass3/report/1-2-3.jpg
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improc/ass3/report/report.tex
improc/ass3/report/report.tex
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improc/ass3/report/report.tex
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...
...
@@ -42,7 +42,38 @@ convert the RGB color model the HSV color model.
% Does your model improve the results compared with the RGB model?
\begin{table}
In most cases, the HSV color model gives a better result. When comparing
picture 8 with picture 1, 2 and 3, the histogram intersections of the RGB color
model are resp. 52
\%
, 66
\%
and 66
\%
. With the HSV color model, these
intersections are resp. 28
\%
, 61
\%
and 45
\%
.
\begin{figure}
[H]
\center
\includegraphics
[height=3cm]
{
../database/8.jpg
}
\caption
{
Picture 8 from the given database.
}
\end{figure}
If we visually compare picture 8 with the pictures 1, 2 and 3, we can clearly
see that picture 2 shows more similarities (similar yellow color, similar size
and ratio of the object) than the other two pictures.
\begin{figure}
[H]
\center
\includegraphics
[height=3cm]
{
1-2-3.jpg
}
\caption
{
From left to right picture 1, 2 and 3 from the given database.
}
\end{figure}
However, in the RGB model, there is no clear distinction in the histogram
intersections (52
\%
, 66
\%
and 66
\%
), while the HSV model gives picture 1 and 3
a much lower intersection percentage (picture 2 has 61
\%
, picture 1 has 28
\%
and picture 3 has 45
\%
).
So, using the HSV color model does improve the results.
\subsection
{
Histogram intersection tables
}
\begin{table}
[H]
\hspace
{
-1.5in
}
\begin{tabular}
{
r|rrrrrrrrrrrrrrrrrrrr
}
\toprule
...
...
@@ -77,7 +108,7 @@ convert the RGB color model the HSV color model.
\caption
{
Histogram intersection of 20 pictures with the RGB color model.
}
\end{table}
\begin{table}
\begin{table}
[H]
\hspace
{
-1.5in
}
\begin{tabular}
{
r|rrrrrrrrrrrrrrrrrrrr
}
\toprule
...
...
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