摘要
We propose a novel binary image representation algorithm using the non-symmetry and anti-packing model and the coordinate encoding procedure （NAMCEP）. By tak- ing 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 representa- tions, we show that NAMCEP can not only reduce the aver- age node, but also simultaneously improve the average com- pression. We also present a novel NAMCEP-based algorithm for area calculation and show experimentally that our algo- rithm offers significant improvements.
We propose a novel binary image representation algorithm using the non-symmetry and anti-packing model and the coordinate encoding procedure （NAMCEP）. By tak- ing 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 representa- tions, we show that NAMCEP can not only reduce the aver- age node, but also simultaneously improve the average com- pression. We also present a novel NAMCEP-based algorithm for area calculation and show experimentally that our algo- rithm offers significant improvements.
基金
We thank the anonymous reviewers and editors for their valuable comments on improving this paper. This work was supported by the National Natural Science Foundation of China （Grant No. 61300134）, the Research Fund for the Doctoral Program of Higher Education of China （20120172120036）, the Natural Science Foundation of Guangdong Province of China （S2011040005815 and S2013010012515）, the Foundation for Dis- tinguished Young Talents in Higher Education of Guangdong of China （LYM11015）, and the Fundamental Research Funds for the Central Universities of China （2011ZM0074 and 2013ZZ0050）.
