Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76725-1_14 | CIARP |
Keywords | Field | DocType |
novel idea,angle deviation,directional processing,gaussian noise corruption,multichannel image denoising,fuzzy vector directional filter,differentiate movement,fuzzy logic recursive scheme,motion detection,robust algorithm,motion,fuzzy logic,gaussian noise,vectors | Computer vision,Pattern recognition,Motion detection,Computer science,Fuzzy logic,Filter (signal processing),Image denoising,Artificial intelligence,Motion estimation,Gaussian noise,Video denoising,Recursion | Conference |
Volume | ISSN | ISBN |
4756 | 0302-9743 | 3-540-76724-X |
Citations | PageRank | References |
1 | 0.37 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Rosales-Silva | 1 | 48 | 6.77 |
| Volodymyr I. Ponomaryov | 2 | 124 | 18.38 |
| Francisco J. Gallegos-Funes | 3 | 66 | 10.19 |