On vector quantization for fast facet edge detection

M. Y. Jaisimha, J. R. Goldschneider, A. E. Mohr, E. A. Riskin, R. M. Haralick

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Presents an approach for performing edge detection which builds on prior work in fast facet edge detection using tree-structured vector quantization (TSVQ). The authors first extend the approach by using larger image vectors to reduce computational complexity by performing edge detection on multiple pixels at once. They then reduce the computational complexity of the edge detector without sacrificing performance by pruning the TSVQ with an edge detection-based criterion. They present results of edge detector performance on a sequence of images obtained from a mobile robot.

Original languageEnglish
Article number389517
Pages (from-to)V37-V40
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - 1994

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