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 herein
2002
7th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA 2002
981-238-121-X
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].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/17245
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