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Active Contour based document image segmentation and restoration using split-bregman and edge enhancement diffusion

Publication Type : Journal Article

Thematic Areas : Center for Computational Engineering and Networking (CEN)

Publisher : IJCA

Source : IJCA (2012)

Url : https://www.ijcaonline.org/archives/volume54/number13/8625-2491

Campus : Coimbatore

School : School of Engineering

Center : Computational Engineering and Networking

Department : Center for Computational Engineering and Networking (CEN), Electronics and Communication

Year : 2012

Abstract : This paper presents PDE based document image segmentation and restoration approach using active contours, non-linear diffusion and split-bregman algorithm. We applied additive (Gaussian, salt & pepper) and multiplicative noise (speckle noise) to clean document images, taken from DIBCO 2009 image dataset. Along with image denoising and segmentaiton, the edges in the image are enhanced through non-linear diffusion operation. Acitve contour is also used to get a binarized document image.

Cite this Research Publication : A. Raghukumar, Dr. Soman K. P., Rajan, P., and Haridas, D., “Active Contour based document image segmentation and restoration using split-bregman and edge enhancement diffusion”, IJCA, 2012.

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