Geometric analysis of particle motion in a vector image field

Chenggang Lu, Zheru Chi, Gang Chen, Dagan Feng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

This paper proposes a geometrical model for the Particle Motion in a Vector Image Field (PMVIF) method. The model introduces a c-evolute to approximate the edge curve in the gray-level image. The c-evolute concept has three major novelties: (1) The locus of Particle Motion in a Vector Image Field (PMVIF) is a c-evolute of image edge curve; (2) A geometrical interpretation is given to the setting of the parameters for the method based on the PMVIF; (3) The gap between the image edge's critical property and the particle motion equations appeared in PMVIF is padded. Our experimental simulation based on the image gradient field is simple in computing and robust, and can perform well even in situations where high curvature exists.
Original languageEnglish
Pages (from-to)301-307
Number of pages7
JournalJournal of Mathematical Imaging and Vision
Volume26
Issue number3
DOIs
Publication statusPublished - 1 Dec 2006

Keywords

  • Edge detection
  • Image processing
  • PMVIF method

ASJC Scopus subject areas

  • Statistics and Probability
  • Modelling and Simulation
  • Condensed Matter Physics
  • Computer Vision and Pattern Recognition
  • Geometry and Topology
  • Applied Mathematics

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