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A countinuous-time cellular neural network chip for direction-selectable connected component detection with optical image acquisition

 

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Opened Access A countinuous-time cellular neural network chip for direction-selectable connected component detection with optical image acquisition
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Autor: Espejo Meana, Servando Carlos
Domínguez Castro, Rafael
Carmona Galán, Ricardo
Rodríguez Vázquez, Ángel Benito
Departamento: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Fecha: 1994
Publicado en: Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MICRONEURO’94) (1994), p 1-11
Tipo de documento: Ponencia
Resumen: This paper presents a continuous-time Cellular Neural Network (CNN) chip [1] for the application of Connected Component Detection (CCDet) [2]. Projection direction can be selected among four different possibilities. Every cell (or pixel) in the 32...
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Cita: Espejo Meana, S.C., Domínguez Castro, R., Carmona Galán, R. y Rodríguez Vázquez, Á.B. (1994). A countinuous-time cellular neural network chip for direction-selectable connected component detection with optical image acquisition. En Fourth International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MICRONEURO’94), Turin (Italia).
Tamaño: 124.0Kb
Formato: PDF

URI: https://hdl.handle.net/11441/80334

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