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Taddeüs Kroes
uva
Commits
5f676a7c
Commit
5f676a7c
authored
Nov 04, 2011
by
Taddes Kroes
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improc ass4: Added result of Canny Edge Detector to report.
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c8f80287
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improc/ass4/report/canny_2_20_60.pdf
improc/ass4/report/canny_2_20_60.pdf
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improc/ass4/report/report.tex
improc/ass4/report/report.tex
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improc/ass4/report/canny_2_20_60.pdf
0 → 100644
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5f676a7c
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improc/ass4/report/report.tex
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5f676a7c
...
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@@ -188,9 +188,11 @@ the Wiki page is self-explanatory, we will not discuss the algorithm itself in
this report.
The program usage is as follows:
\begin{verbatim}
python canny.py SCALE [ LOWER
_
THRESHOLD HIGHER
_
THRESHOLD ]
\end{verbatim}
The scale is obviously used for finding the intensity gradient, and the
thresholds are used in the "Hysterisis thresholding" part. Note that the
thresholds are optional, because the assignment instructs to create a function
...
...
@@ -200,12 +202,12 @@ the resulting plot will contain an additional image containing a binary image
of edges. The thresholds can be specified in the range 0-255, they are scaled
down by the program to match the image's color range. An example execution of
edge detection on the cameraman image using a scale of 2, a lower threshold of
20 and a higher threshold of 60, can be viewed in figure
\ref
{
fig:canny
}
20 and a higher threshold of 60, can be viewed in figure
\ref
{
fig:canny
}
.
\begin{figure}
[H]
\label
{
fig:canny
}
\
center
\includegraphics
[scale=.
5
]
{
canny
_
2
_
20
_
60.pdf
}
\
hspace
{
-5cm
}
\includegraphics
[scale=.
6
]
{
canny
_
2
_
20
_
60.pdf
}
\caption
{
The result of
\texttt
{
python canny.py 2 20 60
}
.
}
\end{figure}
...
...
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