The reliable detection of low-level image structures is an old and
still challenging problem in computer vision. This book leads a
detailed tour through the LSD algorithm, a line segment detector
designed to be fully automatic. Based on the a contrario framework,
the algorithm works efficiently without the need of any parameter
tuning. The design criteria are thoroughly explained and the
algorithm's good and bad results are illustrated on real and
synthetic images. The issues involved, as well as the strategies
used, are common to many geometrical structure detection problems
and some possible extensions are discussed.
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