Segmentation of heterogeneous document images : an ... - Tel

Appendix B
Implementation and
software
tel-00912566, version 1 - 2 Dec 2013
During the course of this PhD thesis, many applications and command line tools
are developed. Some are developed for the purpose of document, data or feature
visualization and some are developed to perform computation for different
parts of the system. Finally, all the pieces have come together as a single unified
program that can be applied on any document image using one command line
tool.
The command line tool is written in C++ using both QT, OpenCV and
libLBGFS libraries. The cross-platform software with 6800 lines of code is developed
on a Windows machine using Microsoft Visual Studio and is ported into
Linux for testing and evaluation.
The general syntax of the command line tool is:
• DematSeg [Options] FolderPath
where folder path is the location of .TIFF document images. Without any
option, the application opens each document image in the folder path in a
multi-threaded framework and applies page segmentation on every document
image. Options can be used to generate features or to train different parts of
the system. Options are:
• ”-gn”: This option redirects the application to process all document images
in the folder path for the purpose of extracting connected components
and generating features for them. All features will come together in a single
file that should later be used for training. The application expects to
find the corresponding XML ground truth file for each document image in
the same folder. XML ground-truths should have a name consisting of the
base name of the document plus one of the suffixes: ” GT”, ” PrimaGT”
or ”pc-” as prefix (ICDAR2009 default naming). If a ground truth file is
not available, the application simply ignores that document and continues
processing the remaining documents in the folder.
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