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Erschienen in:
Spotting Graphical Symbols in Camera-Acquired Documents in Real Time Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Improved Contour-Based Corner Detection for Architectural Floor Plans

verfasst von : Max Feltes, Sheraz Ahmed, Andreas Dengel, Marcus Liwicki

Erschienen in: Graphics Recognition. Current Trends and Challenges

Verlag: Springer Berlin Heidelberg

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Abstract

A new rotation invariant corner detection method for architectural line drawing images is proposed in this paper. The proposed method is capable of finding corners of objects in line drawing images by filtering out unnecessary points without changing the overall structure. Especially, in case of diagonal lines and corners, our method is capable of removing repetitive points. The proposed method is applied to corner detection of walls in floor plans which in turn are used for detection of wall edges. To evaluate the effectiveness of detected corners, gap closing and wall edge detection is performed on a publicly available dataset of 90 floor plans, where we achieved a recognition and detection accuracy of 95 %.

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Vorheriges Kapitel Binarization with the Local Otsu Filter
Nächstes Kapitel The ICDAR/GREC 2013 Music Scores Competition: Staff Removal
Fußnoten
1
The actual image size is \(2479 * 3508\). For making the analysis process more efficient, isotropic down scaling to \(1413 * 2000\) has been applied.
 
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Metadaten
Titel
Improved Contour-Based Corner Detection for Architectural Floor Plans
verfasst von
Max Feltes
Sheraz Ahmed
Andreas Dengel
Marcus Liwicki
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Graphics Recognition. Current Trends and Challenges

Print ISBN: 978-3-662-44853-3

Electronic ISBN: 978-3-662-44854-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-662-44854-0_15

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