Commit 871fe57e authored by Taddeüs Kroes's avatar Taddeüs Kroes

improc ass3: Resolved conflicts.

parents 5c02b43b 46080cc2
......@@ -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
% was this color model invented?
It is useless to convert an absolute color model to a non-absolute color
model, since it not possible to generate ... We chose the HSV color model.
It is useless to convert an absolute color model to a non-absolute 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?
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}
\subsection{Finding Waldo}
......@@ -123,3 +225,5 @@ of 0.25 and a convolution radius of 10 pixels, the result is as follows:
\end{figure}
\end{document}
\end{document}
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