NDLI: Significant point detection and boundary representation with lines and circular arcs, using a scanning box method

Content Provider	IEEE Xplore Digital Library
Author	Yoon, S.H. Kim, J.H. Park, E.H. Ntuen, C.A. Sohn, K.H. Nilsson, A.A. Kim, Y.H.
Copyright Year	1991
Description	Author affiliation: North Carolina A&T State Univ., Greensboro, NC, USA (Yoon, S.H.; Kim, J.H.; Park, E.H.; Ntuen, C.A.)
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.
Starting Page	915
Ending Page	918
File Size	264168
Page Count	4
File Format	PDF
ISBN	0780300335
DOI	10.1109/SECON.1991.147893
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Least squares approximation Spline Computer errors Pattern recognition Computer vision Linear approximation Equations Optimization methods Newton method
Content Type	Text
Resource Type	Article

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