An unbiased detector of curvilinear structures
Steger, C.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 20, Issue 2, Feb 1998 Page(s):113 - 125
Digital Object Identifier 10.1109/34.659930
Summary:The extraction of curvilinear structures is an important low-level
operation in computer vision that has many applications. Most existing
operators use a simple model for the line that is to be extracted, i.e.,
they do not take into account the surroundings of a line. This leads to
the undesired consequence that the line will be extracted in the wrong
position whenever a line with different lateral contrast is extracted.
In contrast, the algorithm proposed in this paper uses an explicit model
for lines and their surroundings. By analyzing the scale-space behavior
of a model line profile, it is shown how the bias that is induced by
asymmetrical lines can be removed. Furthermore, the algorithm not only
returns the precise subpixel line position, but also the width of the
line for each line point, also with subpixel accuracy
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