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The book focuses on an image processing technique known as binarization. It provides a comprehensive survey over existing binarization techniques for both document and graphic images. A number of evaluation techniques have been presented for quantitative comparison of different binarization methods. The book provides results obtained comparing a number of standard and widely used binarization algorithms using some standard evaluation metrics. The comparative results presented in tables and charts facilitates understanding the process. In addition to this, the book presents techniques for preparing a reference image which is very much important for quantitative evaluation of the binarization techniques. The results are produced taking image samples from standard image databases.
Introduction.- A Comprehensive Survey on Image Binarization Techniques.- A New Image Binarization Technique using Iterative Partitioning.- A Framework for Creating Reference Image for Degraded Document Images.- Image Binarization and Its Applications.- Conclusions.
Nabendu Chaki is a Senior Member of IEEE and an Associate Professor in the Department Computer Science & Engineering, University of Calcutta, India. Besides editing several volumes in LNCS, Springer and other series, Nabendu has authored three text books with reputed publishers like Taylor and Francis (CRC Press), Pearson Education, etc. Dr. Chaki has published more than 100 refereed research papers in Journals and International conferences. His areas of research interests include image processing, distributed systems, and network security. Dr. Chaki has also served as a Research Assistant Professor in Ph.D. program (Software Engineering) at U.S. Naval Postgraduate School, Monterey, CA. He is a visiting faculty member for many universities including the University of CaFoscari, Venice, Italy. Dr. Chaki has contributed in SWEBOK v3 of the IEEE Computer Society as a Knowledge Area Editor for Mathematicalãœ
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