An Algorithm for Adaptive Mean Filtering and Its Hardware Implementation
| Autor: | Ioannis Andreadis, Antonios Gasteratos, Ioannis Gasteratos |
|---|---|
| Rok vydání: | 2006 |
| Předmět: |
business.industry
Computer science Machine vision Filter (signal processing) symbols.namesake Noise Gaussian noise Computer Science::Computer Vision and Pattern Recognition Signal Processing Pattern recognition (psychology) symbols Median filter Computer vision Electronics Smart camera Artificial intelligence Electrical and Electronic Engineering business Algorithm Computer hardware Information Systems |
| Zdroj: | Journal of VLSI signal processing systems for signal, image and video technology. 44:63-78 |
| ISSN: | 1573-109X 0922-5773 |
| Popis: | Noise due to the sensor and the electronics of a camera is an undesirable issue in any machine vision application. Such noise tends to corrupt images and to obstruct any further analysis. An algorithm to detect and cancel such noise, using statistical methods, is presented in this paper. The proposed algorithm is an adaptive mean filter, which filters out image regions that are found to be noise corrupted. The efficiency of the proposed filter was examined both qualitatively and quantitatively, by software simulation in several noisy conditions. The main advantage of the filter in hand is that it is appropriate for hardware implementation and can be easily incorporated to smart cameras. The hardware implementation of the filter is also presented in this paper. This implementation aims at time critical applications such as machine vision, inspection and visual surveillance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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