Image analysis algorithms are of great interest in the context of object-oriented coding schemes. In this paper a new analogic CNN algorithm for obtaining the motion estimation is illustrated, whereas the companion paper (Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented image analysis stage. Simulation results, carried out for Miss America and Claire video sequences, confirm the validity of the approach developed herein
Object-Oriented Image Analysis via Analogic CNN Algorithms - Part I: Motion Estimation / Grassi, G.; Grieco, Luigi Alfredo. - (2002), pp. 172-179. (Intervento presentato al convegno 7th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA 2002 tenutosi a Frankfurt, Germany nel July 22-24, 2002) [10.1109/CNNA.2002.1035050].
Object-Oriented Image Analysis via Analogic CNN Algorithms - Part I: Motion Estimation
GRIECO, Luigi Alfredo
2002-01-01
Abstract
Image analysis algorithms are of great interest in the context of object-oriented coding schemes. In this paper a new analogic CNN algorithm for obtaining the motion estimation is illustrated, whereas the companion paper (Grassi and Grieco, 2002) focuses on the remaining steps of the object-oriented image analysis stage. Simulation results, carried out for Miss America and Claire video sequences, confirm the validity of the approach developed hereinI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
