DocumentCode :
3554303
Title :
Significant point detection and boundary representation with lines and circular arcs, using a scanning box method
Author :
Yoon, Sung H. ; Kim, Jung H. ; Park, Eui H. ; Ntuen, Celestine A. ; Sohn, Kwang H. ; Nilsson, Ame A. ; Kim, Yong H.
Author_Institution :
North Carolina A&T State Univ., Greensboro, NC, USA
fYear :
1991
fDate :
7-10 Apr 1991
Firstpage :
915
Abstract :
A boundary curve is represented by circular arcs and lines to obtain explicit geometrical features. Corner points, which are local extremum points, are detected by the symmetry property of the points. An inflection point is a zero-crossing point between two neighboring extremum points. In the LMS (least-mean-square) sense, a circular arc between two neighboring significant points is optimized. The similarity of neighboring segments is checked in radius and center, and the segments are merged when the difference is negligible. The representation result obtained here is a good approximation of the original curve, in the sense that it makes critical points explicit and achieves error-minimized representation
Keywords :
least squares approximations; picture processing; LMS algorithm; boundary representation; circular arcs; corner points; images; inflection point; lines; scanning box method; significant point detection; Computer errors; Computer vision; Equations; Least squares approximation; Linear approximation; Newton method; Optimization methods; Pattern recognition; Spline;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southeastcon '91., IEEE Proceedings of
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-7803-0033-5
Type :
conf
DOI :
10.1109/SECON.1991.147893
Filename :
147893
Link To Document :
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