TY - GEN
T1 - A unified framework based on the level set approach for segmentation of unconstrained double-sided document images suffering from bleed-through
AU - Moghaddam, Reza Farrahi
AU - Rivest-Hénault, David
AU - Bar-Yosef, Itay
AU - Cheriet, Mohamed
PY - 2009/12/10
Y1 - 2009/12/10
N2 - A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to provide a completely integrated process for the segmentation of the text along with the removal of the bleed-through interfering patterns. This process is driven by three forces: 1) a binarization force based on an adaptive global threshold is used to identify region of low intensity, 2) a reverse diffusion force allows for the separation of interfering patterns from the true text, and 3) a small regularization force favors smooth boundaries. This integrated method achieves high quality results at reasonable computational cost, and can easily host other concepts to enhance its performance. The method is successfully applied to real and synthesized degraded document images. Also, the registration problem of the double-sided document images is addressed by introducing a level set method; the results are promising.
AB - A novel method for the segmentation of double-sided ancient document images suffering from bleed-through effect is presented. It takes advantage of the level set framework to provide a completely integrated process for the segmentation of the text along with the removal of the bleed-through interfering patterns. This process is driven by three forces: 1) a binarization force based on an adaptive global threshold is used to identify region of low intensity, 2) a reverse diffusion force allows for the separation of interfering patterns from the true text, and 3) a small regularization force favors smooth boundaries. This integrated method achieves high quality results at reasonable computational cost, and can easily host other concepts to enhance its performance. The method is successfully applied to real and synthesized degraded document images. Also, the registration problem of the double-sided document images is addressed by introducing a level set method; the results are promising.
UR - http://www.scopus.com/inward/record.url?scp=71249089533&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2009.108
DO - 10.1109/ICDAR.2009.108
M3 - Conference contribution
AN - SCOPUS:71249089533
SN - 9780769537252
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 441
EP - 445
BT - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
T2 - ICDAR2009 - 10th International Conference on Document Analysis and Recognition
Y2 - 26 July 2009 through 29 July 2009
ER -