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Commit 4d559008 authored by Richard Torenvliet's avatar Richard Torenvliet
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worked on report

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...@@ -115,7 +115,7 @@ at either the left of right side of the image. ...@@ -115,7 +115,7 @@ at either the left of right side of the image.
Once we have separate digits and characters, we intent to use Local Binary Once we have separate digits and characters, we intent to use Local Binary
Patterns (Ojala, Pietikäinen \& Harwood, 1994) to determine what character Patterns (Ojala, Pietikäinen \& Harwood, 1994) to determine what character
or digit we are dealing with. Local Binary or digit we are dealing with. Local Binary
Patters are a way to classify a texture based on the distribution of edge Patterns are a way to classify a texture based on the distribution of edge
directions in the image. Since letters on a license plate consist mainly of directions in the image. Since letters on a license plate consist mainly of
straight lines and simple curves, LBP should be suited to identify these. straight lines and simple curves, LBP should be suited to identify these.
...@@ -142,7 +142,7 @@ evaluated, starting with $i=0$). ...@@ -142,7 +142,7 @@ evaluated, starting with $i=0$).
This results in a mathematical expression: This results in a mathematical expression:
Let I($x_i, y_i$) an Image with grayscale values and $g_n$ the grayscale value of the pixel $(x_i, y_i)$. Let I($x_i, y_i$) an Image with grayscale values and $g_n$ the grayscale value of the pixel $(x_i, y_i)$.
Also let $s(g_i - g_c)$ with $g_c$ = grayscale value of the center pixel. Also let $s(g_i, g_c)$ with $g_c$ = grayscale value of the center pixel.
$$ $$
s(v, g_c) = \left\{ s(v, g_c) = \left\{
......
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