Video processing fuzzy algorithm detecting movement and suppressing noise in remote sensing apllications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Novel fuzzy logic scheme that employs the gradients and vectors for motion object detection, and spatial temporal filtering to suppress a noise has been proposed. The filtering framework is based on proposed fuzzy rules to characterize pixel's properties, and it runs applying the past and present frames of a sequence. The simulation results have shown the effectiveness of novel video colour fuzzy algorithm in comparison with existed ones.

Original languageEnglish
Title of host publicationConference Proceedings - The 12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08
Pages406-408
Number of pages3
DOIs
StatePublished - 2008
Event12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08 - Odesa, Ukraine
Duration: 29 Jun 20082 Jul 2008

Publication series

NameMathematical Methods in Electromagnetic Theory, MMET, Conference Proceedings

Conference

Conference12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08
Country/TerritoryUkraine
CityOdesa
Period29/06/082/07/08

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