Image identification system based on an optical broadcast neural network and a pulse coupled neural network preprocessor stage.
We describe the concept of a vision system based on an optoelectronic hardware neural processor. The proposed system is composed of a pulse coupled neural network (PCNN) preprocessor stage that converts an input image into a temporal pulsed pattern. These pulses are inputs to the optical broadcast neural network (OBNN) processor, which classifies the input pattern between a set of reference patterns based on a pattern matching strategy. The PCNN is to provide immunity to the scale, rotation, and translation of objects in the image. The OBNN provides high parallelism and a high speed hardware neural processor.
Lamela
Horacio
H
Grupo de Optoelectrónica y Tecnología Láser, Universidad Carlos III de Madrid, Madrid, Spain. horacio@ing.uc3m.es
Ruiz-Llata
Marta
M