3 July 2012 Binarization method based on evolution equation for document images produced by cameras
Yan Wang, Chuangjiang He
Author Affiliations +
Abstract
We present an evolution equation-based binarization method for document images produced by cameras. Unlike the existing thresholding techniques, the idea behind our method is that a family of gradually binarized images is obtained by the solution of an evolution partial differential equation, starting with an original image. In our formulation, the evolution is controlled by a global force and a local force, both of which have opposite sign inside and outside the object of interests in the original image. A simple finite difference scheme with a significantly larger time step is used to solve the evolution equation numerically; the desired binarization is typically obtained after only one or two iterations. Experimental results on 122 camera document images show that our method yields good visual quality and OCR performance.
© 2012 SPIE and IS&T 0091-3286/2012/$25.00 © 2012 SPIE and IS&T
Yan Wang and Chuangjiang He "Binarization method based on evolution equation for document images produced by cameras," Journal of Electronic Imaging 21(2), 023030 (3 July 2012). https://doi.org/10.1117/1.JEI.21.2.023030
Published: 3 July 2012
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CITATIONS
Cited by 12 scholarly publications.
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KEYWORDS
Image compression

Image restoration

Image quality

Reconstruction algorithms

Receivers

Wavelets

Computer programming

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