Constrained regularization approach to curvature estimation

Kwanghoon Sohn, Winser E. Alexander, Jung H. Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a method for boundary smoothing using constrained regularization technique. The smoothed boundary is used to compute a curvature function. Computing a curvature function on a digitized boundary is an ill-posed problem due to the discrete nature of the boundary. Thus, the boundary needs to be smoothed before computing the curvature function. We use a constrained regularization technique to obtain the optimal smooth boundary. The curvature function is computed from this optimal smooth boundary. This method solves a common critical problem of current curvature estimation methods in determining a unique smoothing factor. Using the above method, we derive a curvature function which is invariant under rotation, scale and translation. Thus, the resulting curvature function can be used to uniquely detect corner points.

Original languageEnglish
Title of host publicationProceedings - SSST/CSA 1992
Subtitle of host publication24th Southeastern Symposium on System Theory and 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages235-239
Number of pages5
ISBN (Electronic)0818626658, 9780818626654
DOIs
Publication statusPublished - 1992 Jan 1
Event24th Southeastern Symposium on System Theory and 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design, SSST/CSA 1992 - Greensboro, United States
Duration: 1992 Mar 11992 Mar 3

Publication series

NameProceedings - SSST/CSA 1992: 24th Southeastern Symposium on System Theory and 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design

Conference

Conference24th Southeastern Symposium on System Theory and 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design, SSST/CSA 1992
CountryUnited States
CityGreensboro
Period92/3/192/3/3

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

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