问题
I recently discovered the stroke width transform, as documented in the following research paper:
- Detecting Text in Natural Scenes with Stroke Width Transform. Boris Epshtein, Yonathan Wexler, and Eyal Ofek. IEEE International Conference on Computer Vision and Pattern Recognition, 2010.
The algorithm is intended for detecting and extracting text from natural scenes.
However, I could not find any implementation, and from the paper I find it hard to determine all the details regarding the algorithm so I can implement it in practice. Does anyone know if this algorithm is implemented and used in practice in a system? Is there a C# or Java implementation of it?
回答1:
My friend Andrew and I implemented Stoke Width Transform (SWT) on a mobile phone during a class project at Cornell. Maybe you can get hint from the report.
The report: http://www.cs.cornell.edu/courses/cs4670/2010fa/projects/final/results/group_of_arp86_sk2357/Writeup.pdf
Our code: https://sites.google.com/site/roboticssaurav/strokewidthnokia
Updated code: https://github.com/aperrau/DetectText
回答2:
Here is code that does what you asked for: http://libccv.org/doc/doc-swt/
Other projects that are relevant:
- https://www.google.com/search?q=text+detection+in+images
- python and c++ implementation by TiRG (screenshot sample) : http://funkybee.narod.ru/
- python and c++ implementation by TiRG (source code) : http://sourceforge.net/projects/tirg/
来源：https://stackoverflow.com/questions/4837124/stroke-width-transform-swt-implementation-java-c