Corner detection-based object representation technique for 2-D images

Rafic A. Bachnak, Mehmet Celenk

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

2 Scopus citations

Abstract

A corner detection-based object representation technique that operates on a thinned binary image is presented. The proposed method consists of two computational phases. The first phase involves the use of a corner detection method which detects the corners in the image. The second phase is a curve-following process that establishes the topological relationships between the corners for a complete object representation. The final output of the method is a list of corners, each identified by its position, the number of its edges, and the neighboring corners connected to it. Experimental results on a computer-generated line-drawing and an image of a real object are presented. The method gives reasonably good results for the images used in the test experiments.

Original languageEnglish (US)
Title of host publicationThird Int Symp Intell Control
EditorsH.E. Stephanou, A. Meystel, J.Y.S. Luh
PublisherPubl by IEEE
Pages186-190
Number of pages5
ISBN (Print)0818620129
Publication statusPublished - 1988
EventThird International Symposium on Intelligent Control 1988 - Arlington, VA, USA
Duration: Aug 24 1988Aug 26 1988

Other

OtherThird International Symposium on Intelligent Control 1988
CityArlington, VA, USA
Period8/24/888/26/88

    Fingerprint

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Bachnak, R. A., & Celenk, M. (1988). Corner detection-based object representation technique for 2-D images. In H. E. Stephanou, A. Meystel, & J. Y. S. Luh (Eds.), Third Int Symp Intell Control (pp. 186-190). Publ by IEEE.