Using a 20*22 CNN Universal Machine chip two application case studies will be presented. A new analogic CNN algorithm will be shown to detect objects having larger size than a given value on black-and-white image sequences moving in a given range of direction and speed (17 μs processing speed could be achieved). An extremely fast texture classification analogic algorithm will be given next with approximately 2 μs processing speed and with less than 5% misclassification error rate for 4 natural textures in real-life testing environment.
|Number of pages||6|
|Publication status||Published - Dec 1 1996|
|Event||Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96 - Seville, Spain|
Duration: Jun 24 1996 → Jun 26 1996
|Other||Proceedings of the 1996 4th IEEE International Workshop on Cellular Neural Networks, and Their Applications, CNNA-96|
|Period||6/24/96 → 6/26/96|
ASJC Scopus subject areas