Abstract
We propose a novel binary image representation algorithm using the non-symmetry and anti-packing model and the coordinate encoding procedure (NAMCEP). By taking some idiomatic standard binary images in the field of image processing as typical test objects, and by comparing our proposed NAMCEP representation with linear quadtree (LQT), binary tree (Bintree), non-symmetry and anti-packing model (NAM) with K-lines (NAMK), and NAM representations, we show that NAMCEP can not only reduce the average node, but also simultaneously improve the average compression. We also present a novel NAMCEP-based algorithm for area calculation and show experimentally that our algorithm offers significant improvements.
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Yunping Zheng received his BS degree in computer science from Air Force Radar Academy, Wuhan, China in 2001, and his MS and PhD degrees in computer science from Huazhong University of Science and Technology, Wuhan, China in 2005 and 2008, respectively. He is currently an associate professor with the School of Computer Science and Engineering, South China University of Technology, China. He has published over 70 papers in referred conferences and journals. Dr. Zheng is a member of ACM. His interests include computer graphics, fractal image compression, image processing, and pattern recognition.
Mudar Sarem received his BS degree in electronic engineering from Tishreen University, Lattakia, Syria in 1989, and his MS and PhD degrees in computer science from Huazhong University of Science and Technology, Wuhan, China in 1997 and 2002, respectively. He is currently an associate professor with the School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China. He has published over 50 papers in referred conferences and journals. Dr. Sarem’s research interests include computer graphics, multimedia databases, and image processing.
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Zheng, Y., Sarem, M. A novel binary image representation algorithm by using NAM and coordinate encoding procedure and its application to area calculation. Front. Comput. Sci. 8, 763–772 (2014). https://doi.org/10.1007/s11704-014-3103-0
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DOI: https://doi.org/10.1007/s11704-014-3103-0