Boundary-based corner detection using wavelet transform

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

3 Citations (Scopus)

Abstract

A novel corner detection algorithm based on the wavelet transform is presented. The algorithm detects corners by applying the shape information of the orientation profile of the corner. The shape information is extracted by using the wavelet transform. The conducted experiments have shown that our algorithm is more effective than the conventional corner detection algorithms. Compared with the traditional multiscale corner detection algorithms, our algorithm is computationally simpler because we have to compute the wavelet transform for only about two scales.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Editors Anon
PublisherPubl by IEEE
Pages513-516
Number of pages4
Volume4
ISBN (Print)0780309111
Publication statusPublished - 1993
EventProceedings of 1993 International Conference on Systems, Man and Cybernetics - Le Touquet, Fr
Duration: 1993 Oct 171993 Oct 20

Other

OtherProceedings of 1993 International Conference on Systems, Man and Cybernetics
CityLe Touquet, Fr
Period93-10-1793-10-20

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Boundary-based corner detection using wavelet transform'. Together they form a unique fingerprint.

  • Cite this

    Lee, J. S., Sun, Y-N., & Chen, C-H. (1993). Boundary-based corner detection using wavelet transform. In Anon (Ed.), Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (Vol. 4, pp. 513-516). Publ by IEEE.