An algorithm for image binarization based on adaptive threshold

Authors:
Jihong Liu;Chengyuan Wang
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, China;Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

In this paper it discusses the existing algorithm of image binarization, and then proposes a new approach for image binarization based on adaptive threshold. The image binarization is treated as an optimization problem where the best threshold could be found out by partitioning binarization of Ostu threshold, meanwhile the algorithm of eliminating boundary effects is proposed to perfect the purpose of binarization optimization. The new approach is compared with a classic binarization method. Finally the experimental result shows that the new method is better in keeping the original edge feature and available to more applications, especially in obtaining better effects of binarization optimization on images with rich edge information.