We propose a fuzzy logic recursive scheme using directional processing for motion detection and spatial-temporal filtering to decrease Gaussian noise corruption. We introduce novel ideas that employ the differences between images. That permits to connect these using angle deviations in them obtaining several parameters and applying them in the robust algorithm that is capable to detect and differentiate movement in background of noise in any way. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Rosales-Silva, A., Ponomaryov, V. I., & Gallegos-Funes, F. J. (2007). Fuzzy vector directional filters for multichannel image denoising. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4756 LNCS, pp. 124–133). Springer Verlag. https://doi.org/10.1007/978-3-540-76725-1_14
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