An approach on characteristic lines extracting of gray images using moment of inertia

Nan Liang, Lei Guo, Ying Wang

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

4 Scopus citations

Abstract

A novel method on characteristic lines extracting of digital images is presented in this paper by using the moment of inertia theory, which is used to extract the characteristic lines in digital images through treating them as rigid bodies. The characteristic lines process scale and rotation invariant inherently. Experimental results manifest that using the angle difference between characteristic lines in an original image and a rotated and scale changed image. The rotation angle of this image can be calculated correctly. The characteristic line can be also used to detect the symmetry axis of a symmetry region.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010
Pages379-382
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Advanced Computer Control, ICACC 2010 -
Duration: 27 Mar 201029 Mar 2010

Publication series

NameProceedings - 2nd IEEE International Conference on Advanced Computer Control, ICACC 2010
Volume5

Conference

Conference2010 IEEE International Conference on Advanced Computer Control, ICACC 2010
Period27/03/1029/03/10

Keywords

  • Characteristic line
  • Gray image
  • Moment of inertia
  • Scale and rotation invariant
  • Symmetry axis detection

Fingerprint

Dive into the research topics of 'An approach on characteristic lines extracting of gray images using moment of inertia'. Together they form a unique fingerprint.

Cite this