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

Rafic Bachnak, Mehmet Celenk

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

2 Scopus citations


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
Number of pages5
ISBN (Print)0818620129
StatePublished - 1988
EventThird International Symposium on Intelligent Control 1988 - Arlington, VA, USA
Duration: Aug 24 1988Aug 26 1988

Publication series

NameThird Int Symp Intell Control


OtherThird International Symposium on Intelligent Control 1988
CityArlington, VA, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


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