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

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Resumen

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.

Idioma originalInglés
Título de la publicación alojadaConference Proceedings - The 12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08
Páginas406-408
Número de páginas3
DOI
EstadoPublicada - 2008
Evento12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08 - Odesa, Ucrania
Duración: 29 jun. 20082 jul. 2008

Serie de la publicación

NombreMathematical Methods in Electromagnetic Theory, MMET, Conference Proceedings

Conferencia

Conferencia12th International Conference on Mathematical Methods in Electromagnetic Theory, MMET 08
País/TerritorioUcrania
CiudadOdesa
Período29/06/082/07/08

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