Abstract
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.
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Rosales-Silva, A., Ponomaryov, V.I., Gallegos-Funes, F.J. (2007). Fuzzy Vector Directional Filters for Multichannel Image Denoising. In: Rueda, L., Mery, D., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2007. Lecture Notes in Computer Science, vol 4756. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76725-1_14
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DOI: https://doi.org/10.1007/978-3-540-76725-1_14
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