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Commit 871fe57e authored by Taddeüs Kroes's avatar Taddeüs Kroes
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improc ass3: Resolved conflicts.

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improc/ass3/report/report.tex
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...@@ -35,11 +35,113 @@ color model. An example of non-absolute color model is RGB. ...@@ -35,11 +35,113 @@ color model. An example of non-absolute color model is RGB.
% describe your model in your report. What are the conversion formula’s and why % describe your model in your report. What are the conversion formula’s and why
% was this color model invented? % was this color model invented?
It is useless to convert an absolute color model to a non-absolute color It is useless to convert an absolute color model to a non-absolute color model,
model, since it not possible to generate ... We chose the HSV color model. since it will only lose information without any gain. On the other hand,
conversion between two non-absolute color models can be useful. We chose to
convert the RGB color model the HSV color model.
% Does your model improve the results compared with the RGB model? % Does your model improve the results compared with the RGB model?
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
& 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \\
\midrule
1 & 100 & 57 & 56 & 41 & 40 & 45 & 28 & 52 & 51 & 43 & 45 & 54 & 35 & 54 & 59 & 36 & 51 & 47 & 38 & 44 \\
2 & 57 & 100 & 60 & 56 & 47 & 53 & 36 & 66 & 59 & 39 & 41 & 63 & 39 & 65 & 60 & 51 & 59 & 61 & 36 & 54 \\
3 & 56 & 60 & 100 & 46 & 49 & 63 & 24 & 66 & 60 & 58 & 40 & 75 & 48 & 52 & 57 & 35 & 53 & 54 & 45 & 48 \\
4 & 41 & 56 & 46 & 100 & 47 & 47 & 35 & 50 & 48 & 36 & 39 & 49 & 39 & 42 & 48 & 34 & 40 & 63 & 38 & 35 \\
5 & 40 & 47 & 49 & 47 & 100 & 50 & 27 & 53 & 46 & 40 & 40 & 48 & 38 & 45 & 41 & 34 & 38 & 50 & 38 & 36 \\
6 & 45 & 53 & 63 & 47 & 50 & 100 & 25 & 60 & 53 & 43 & 38 & 59 & 49 & 46 & 47 & 35 & 45 & 55 & 46 & 42 \\
7 & 28 & 36 & 24 & 35 & 27 & 25 & 100 & 29 & 28 & 14 & 28 & 25 & 14 & 28 & 28 & 31 & 28 & 35 & 24 & 28 \\
8 & 52 & 66 & 66 & 50 & 53 & 60 & 29 & 100 & 51 & 44 & 40 & 67 & 44 & 57 & 54 & 43 & 52 & 57 & 44 & 45 \\
9 & 51 & 59 & 60 & 48 & 46 & 53 & 28 & 51 & 100 & 45 & 41 & 56 & 41 & 51 & 49 & 39 & 53 & 50 & 37 & 48 \\
10 & 43 & 39 & 58 & 36 & 40 & 43 & 14 & 44 & 45 & 100 & 29 & 48 & 52 & 35 & 39 & 20 & 35 & 40 & 53 & 27 \\
11 & 45 & 41 & 40 & 39 & 40 & 38 & 28 & 40 & 41 & 29 & 100 & 39 & 25 & 40 & 40 & 31 & 39 & 40 & 26 & 43 \\
12 & 54 & 63 & 75 & 49 & 48 & 59 & 25 & 67 & 56 & 48 & 39 & 100 & 41 & 57 & 62 & 41 & 55 & 56 & 36 & 51 \\
13 & 35 & 39 & 48 & 39 & 38 & 49 & 14 & 44 & 41 & 52 & 25 & 41 & 100 & 31 & 35 & 20 & 36 & 43 & 65 & 25 \\
14 & 54 & 65 & 52 & 42 & 45 & 46 & 28 & 57 & 51 & 35 & 40 & 57 & 31 & 100 & 55 & 51 & 57 & 48 & 31 & 54 \\
15 & 59 & 60 & 57 & 48 & 41 & 47 & 28 & 54 & 49 & 39 & 40 & 62 & 35 & 55 & 100 & 39 & 49 & 52 & 34 & 45 \\
16 & 36 & 51 & 35 & 34 & 34 & 35 & 31 & 43 & 39 & 20 & 31 & 41 & 20 & 51 & 39 & 100 & 57 & 41 & 19 & 45 \\
17 & 51 & 59 & 53 & 40 & 38 & 45 & 28 & 52 & 53 & 35 & 39 & 55 & 36 & 57 & 49 & 57 & 100 & 47 & 32 & 57 \\
18 & 47 & 61 & 54 & 63 & 50 & 55 & 35 & 57 & 50 & 40 & 40 & 56 & 43 & 48 & 52 & 41 & 47 & 100 & 40 & 40 \\
19 & 38 & 36 & 45 & 38 & 38 & 46 & 24 & 44 & 37 & 53 & 26 & 36 & 65 & 31 & 34 & 19 & 32 & 40 & 100 & 25 \\
20 & 44 & 54 & 48 & 35 & 36 & 42 & 28 & 45 & 48 & 27 & 43 & 51 & 25 & 54 & 45 & 45 & 57 & 40 & 25 & 100 \\
\bottomrule
\end{tabular}
\caption{Histogram intersection of 20 pictures with the RGB color model.}
\end{table}
\begin{table}[H]
\hspace{-1.5in}
\begin{tabular}{r|rrrrrrrrrrrrrrrrrrrr}
\toprule
& 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & 10 & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20 \\
\midrule
1 & 100 & 36 & 50 & 22 & 25 & 35 & 20 & 28 & 38 & 29 & 32 & 37 & 17 & 38 & 47 & 28 & 39 & 34 & 16 & 30 \\
2 & 36 & 100 & 48 & 49 & 43 & 48 & 34 & 61 & 52 & 12 & 37 & 55 & 12 & 51 & 50 & 47 & 52 & 57 & 11 & 49 \\
3 & 50 & 48 & 100 & 30 & 33 & 52 & 18 & 45 & 49 & 37 & 32 & 58 & 22 & 38 & 48 & 30 & 51 & 42 & 19 & 45 \\
4 & 22 & 49 & 30 & 100 & 41 & 34 & 33 & 40 & 36 & 5 & 32 & 36 & 7 & 30 & 37 & 26 & 27 & 54 & 10 & 28 \\
5 & 25 & 43 & 33 & 41 & 100 & 42 & 25 & 43 & 38 & 4 & 36 & 39 & 4 & 37 & 35 & 31 & 30 & 40 & 5 & 34 \\
6 & 35 & 48 & 52 & 34 & 42 & 100 & 22 & 48 & 42 & 13 & 34 & 53 & 12 & 42 & 43 & 33 & 41 & 46 & 10 & 40 \\
7 & 20 & 34 & 18 & 33 & 25 & 22 & 100 & 25 & 22 & 4 & 25 & 22 & 4 & 25 & 24 & 27 & 21 & 32 & 15 & 24 \\
8 & 28 & 61 & 45 & 40 & 43 & 48 & 25 & 100 & 41 & 4 & 33 & 56 & 5 & 41 & 40 & 36 & 44 & 47 & 6 & 43 \\
9 & 38 & 52 & 49 & 36 & 38 & 42 & 22 & 41 & 100 & 17 & 35 & 46 & 12 & 44 & 40 & 35 & 48 & 35 & 7 & 43 \\
10 & 29 & 12 & 37 & 5 & 4 & 13 & 4 & 4 & 17 & 100 & 6 & 17 & 45 & 14 & 20 & 5 & 18 & 11 & 42 & 7 \\
11 & 32 & 37 & 32 & 32 & 36 & 34 & 25 & 33 & 35 & 6 & 100 & 35 & 4 & 33 & 34 & 27 & 31 & 35 & 5 & 37 \\
12 & 37 & 55 & 58 & 36 & 39 & 53 & 22 & 56 & 46 & 17 & 35 & 100 & 12 & 48 & 55 & 37 & 51 & 46 & 9 & 48 \\
13 & 17 & 12 & 22 & 7 & 4 & 12 & 4 & 5 & 12 & 45 & 4 & 12 & 100 & 12 & 12 & 4 & 16 & 12 & 58 & 5 \\
14 & 38 & 51 & 38 & 30 & 37 & 42 & 25 & 41 & 44 & 14 & 33 & 48 & 12 & 100 & 46 & 45 & 44 & 40 & 13 & 40 \\
15 & 47 & 50 & 48 & 37 & 35 & 43 & 24 & 40 & 40 & 20 & 34 & 55 & 12 & 46 & 100 & 35 & 44 & 47 & 14 & 38 \\
16 & 28 & 47 & 30 & 26 & 31 & 33 & 27 & 36 & 35 & 5 & 27 & 37 & 4 & 45 & 35 & 100 & 49 & 35 & 5 & 41 \\
17 & 39 & 52 & 51 & 27 & 30 & 41 & 21 & 44 & 48 & 18 & 31 & 51 & 16 & 44 & 44 & 49 & 100 & 39 & 13 & 52 \\
18 & 34 & 57 & 42 & 54 & 40 & 46 & 32 & 47 & 35 & 11 & 35 & 46 & 12 & 40 & 47 & 35 & 39 & 100 & 14 & 36 \\
19 & 16 & 11 & 19 & 10 & 5 & 10 & 15 & 6 & 7 & 42 & 5 & 9 & 58 & 13 & 14 & 5 & 13 & 14 & 100 & 5 \\
20 & 30 & 49 & 45 & 28 & 34 & 40 & 24 & 43 & 43 & 7 & 37 & 48 & 5 & 40 & 38 & 41 & 52 & 36 & 5 & 100 \\
\bottomrule
\end{tabular}
\caption{Histogram intersection of 20 pictures with the HSV color model.}
\end{table}
\section{Histogram Backprojection} \section{Histogram Backprojection}
\subsection{Finding Waldo} \subsection{Finding Waldo}
...@@ -123,3 +225,5 @@ of 0.25 and a convolution radius of 10 pixels, the result is as follows: ...@@ -123,3 +225,5 @@ of 0.25 and a convolution radius of 10 pixels, the result is as follows:
\end{figure} \end{figure}
\end{document} \end{document}
\end{document}
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