Capturing outlines of planar images by fuzzy randomized knot insertion to cubic spline

Muhammad Sarfraz*, Aiman Rasheed

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The proposed work, in this paper, is concerned with an efficient technique of curve fitting using cubic splines. The technique has various phases including extracting outlines of images, detecting corner points from the detected outline, addition of extra knot points if needed. The last phase makes a significant contribution by making the technique automated. It uses the idea of knot insertion in a fuzzy randomized manner. The proposed algorithm is an iterative one. The algorithm proposed is computationally efficient as compared to least square approach.

Original languageEnglish
Title of host publicationGeometric Modelling and Imaging, GMAI 2007, Proceedings
Pages85-90
Number of pages6
DOIs
StatePublished - 2007

Publication series

NameGeometric Modelling and Imaging, GMAI 2007, Proceedings

Keywords

  • Cubic spline
  • Curve fitting
  • Knot insertion
  • Outline
  • Planar image

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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