Paper
17 February 2014 Onomatopoeia characters extraction from comic images using constrained Delaunay triangulation
Xiangping Liu, Kenji Shoji, Hiroshi Mori, Fubito Toyama
Author Affiliations +
Proceedings Volume 9029, Visual Information Processing and Communication V; 90290G (2014) https://doi.org/10.1117/12.2039283
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
Abstract
A method for extracting onomatopoeia characters from comic images was developed based on stroke width feature of characters, since they nearly have a constant stroke width in a number of cases. An image was segmented with a constrained Delaunay triangulation. Connected component grouping was performed based on the triangles generated by the constrained Delaunay triangulation. Stroke width calculation of the connected components was conducted based on the altitude of the triangles generated with the constrained Delaunay triangulation. The experimental results proved the effectiveness of the proposed method.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiangping Liu, Kenji Shoji, Hiroshi Mori, and Fubito Toyama "Onomatopoeia characters extraction from comic images using constrained Delaunay triangulation", Proc. SPIE 9029, Visual Information Processing and Communication V, 90290G (17 February 2014); https://doi.org/10.1117/12.2039283
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KEYWORDS
Image segmentation

Feature extraction

Binary data

Current controlled current source

Electronic imaging

Image filtering

Optical character recognition

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