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A novel binary image representation algorithm by using NAM and coordinate encoding procedure and its application to area calculation |
Yunping ZHENG1,*(),Mudar SAREM2 |
1. School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China 2. School of Software Engineering, Huazhong University of Science and Technology,Wuhan 430074, China |
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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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Keywords
binary tree (Bintree)
non-symmetry and anti-packing model (NAM)
coordinate encoding procedure
area calculation
image representation
binary image
linear quadtree (LQT)
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Corresponding Author(s):
Yunping ZHENG
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Issue Date: 11 October 2014
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