MINIMUM DESCRIPTION LENGTH ARC SPLINE APPROXIMATION OF DIGITAL CURVES

被引:0
作者
Maier, Georg [1 ]
Janda, Florian [1 ]
Schindler, Andreas [1 ]
机构
[1] Univ Passau, Inst Software Syst Tech Applicat FORWISS, D-94032 Passau, Germany
来源
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年
关键词
arc spline; circular arc; contour approximation; digital curve; minimum description length; DOMINANT POINT DETECTION; PLANAR CURVES; LINE SEGMENTS;
D O I
暂无
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
We present a method for an unsupervised two model approximation of digital curves. For any maximum tolerance, we obtain the minimum number of smoothly joined circular arcs and line segments. The breakpoints of the resulting curve are neither restricted to be pixel discrete nor they have to be chosen from a finite set of points. Instead, they are computed automatically. This has a considerably positive effect on the number of segments. In addition, we present a very efficient way to encode the approximating curve. Thus, we achieve the minimum description length for any tolerance. The performance of the proposed method is illustrated by different examples including characteristics as the description length, the fitting error and the length-angle representation.
引用
收藏
页码:1869 / 1872
页数:4
相关论文
共 11 条
[1]  
[Anonymous], 1985, Minimum description length principle
[2]  
[Anonymous], 1973, Cartographica: the international journal for geographic information and geovisualization, DOI DOI 10.3138/FM57-6770-U75U-7727
[3]  
Gribov A, 2004, LECT NOTES COMPUT SC, V3138, P504
[4]   A dynamic programming approach for fitting digital planar curves with line segments and circular arcs [J].
Horng, JH ;
Li, JT .
PATTERN RECOGNITION LETTERS, 2001, 22 (02) :183-197
[5]  
Kolesnikov A., 2011, ICIP, P2889
[6]   MINIMUM DESCRIPTION LENGTH APPROXIMATION OF DIGITAL CURVES [J].
Kolesnikov, Alexander .
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, :449-452
[7]  
Maier G., 2010, SMOOTH MINIMUM ARC P
[8]   Polygonal representation of digital planar curves through dominant point detection - a nonparametric algorithm [J].
Marji, M ;
Siy, P .
PATTERN RECOGNITION, 2004, 37 (11) :2113-2130
[9]   MODELING BY SHORTEST DATA DESCRIPTION [J].
RISSANEN, J .
AUTOMATICA, 1978, 14 (05) :465-471
[10]   Techniques for assessing polygonal approximations of curves [J].
Rosin, PL .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (06) :659-666