Design of multi-dimensional derivative filters

Research output: Contribution to journalConference articlepeer-review

Abstract

Many multi-dimensional signal processing problems require the computation of signal gradients or directional derivatives. Traditional derivative estimates based on adjacent or central differences are often inappropriate for multi-dimensional problems. As replacements for these traditional operators, the author designs a set of matched pairs of derivative filters and lowpass prefilters. The author demonstrates the superiority of these filters over simple difference operators.

Original languageEnglish (US)
Article number413423
Pages (from-to)790-794
Number of pages5
JournalProceedings - International Conference on Image Processing, ICIP
Volume1
DOIs
StatePublished - 1994
EventProceedings of the 1994 1st IEEE International Conference on Image Processing. Part 3 (of 3) - Austin, TX, USA
Duration: Nov 13 1994Nov 16 1994

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'Design of multi-dimensional derivative filters'. Together they form a unique fingerprint.

Cite this