Analysis of optoelectronic system for space variant processing
| Autor: | Shames, Paul E., Laut, Sophie, Ambs, Pierre, Fainman, Yeshaiahu |
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| Přispěvatelé: | Department of Electrical Engineering - University of California, University of California [San Diego] (UC San Diego), University of California-University of California, Modélisation, Intelligence, Processus et Système (MIPS), Ecole Nationale Supérieure d'Ingénieur Sud Alsace-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-IUT de Colmar-IUT de Mulhouse |
| Jazyk: | angličtina |
| Rok vydání: | 1999 |
| Předmět: | |
| Zdroj: | Optical Memory and Neural Networks Optical Memory and Neural Networks, 1999, 8 (3), pp.165-176 |
| Popis: | International audience; We analyze the processing performance of a high-speed optoelectronic (OE) system for implementing space variant (SVT). Such transformations are required for many image and signal processing applications. One of the best known SVT is the Hough Transform (HT), which is highly useful in applications requiring detection of lines, ellipses and hyperbolic shapes, such as radar detection and data fusion, topographical map analysus, etc. Using the HT algorithm as a standad, we compare the performance of an OE system to existing and proposed electronic processes.It is shown that the parallelism of the OE system allows for HT processing of a 1024X1024 image in2.1 ms, which is several orders of of magnitude faster than the fastest parallel electronic systems analyzed. |
| Databáze: | OpenAIRE |
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