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 language | English (US) |
|---|---|
| Title of host publication | Third Int Symp Intell Control |
| Editors | H.E. Stephanou, A. Meystel, J.Y.S. Luh |
| Publisher | Publ by IEEE |
| Pages | 186-190 |
| Number of pages | 5 |
| ISBN (Print) | 0818620129 |
| State | Published - 1988 |
| Event | Third International Symposium on Intelligent Control 1988 - Arlington, VA, USA Duration: Aug 24 1988 → Aug 26 1988 |
Other
| Other | Third International Symposium on Intelligent Control 1988 |
|---|---|
| City | Arlington, VA, USA |
| Period | 8/24/88 → 8/26/88 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Corner detection-based object representation technique for 2-D images. / Bachnak, Rafic A.; Celenk, Mehmet.
Third Int Symp Intell Control. ed. / H.E. Stephanou; A. Meystel; J.Y.S. Luh. Publ by IEEE, 1988. p. 186-190.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Corner detection-based object representation technique for 2-D images
AU - Bachnak, Rafic A.
AU - Celenk, Mehmet
PY - 1988
Y1 - 1988
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:0024188602
SN - 0818620129
SP - 186
EP - 190
BT - Third Int Symp Intell Control
A2 - Stephanou, H.E.
A2 - Meystel, A.
A2 - Luh, J.Y.S.
PB - Publ by IEEE
ER -