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A new image binarization method using iterative partitioning

Research paper by Soharab Hossain Shaikh, Asis Kumar Maiti, Nabendu Chaki

Indexed on: 06 Jan '12Published on: 06 Jan '12Published in: Machine Vision and Applications



Abstract

This paper proposes a new method for image binarization that uses an iterative partitioning approach. The proposed method has been tested towards binarization of both document and graphic images. The quantitative comparisons with other standard methods reveal that the proposed approach outperforms existing widely used binarization techniques in terms of accuracy of binarization. The experimental results further establish the superiority of the proposed method, especially for degraded documents and graphic images. The proposed algorithm is suitable for a multi-core processing environment as it can be split into multiple parallel units of executions after the initial partitioning.