Title :
2-dimensional color sensor with combined neural network
Author :
Takahashi, Masaharu ; Ando, Hideki
Author_Institution :
Yamatake-Honeywell Co. Ltd., Kanagawa
Abstract :
Summary form only given. A 2D color sensor has been developed to identify objects using color image data. When using this sensor the user must set several parameters for each object and this setting procedure is difficult using conventional methods. An approach to automatic parameter setting for identification by using a combined neural network has been developed. This combined neural network is composed of two network models. The method extracts the object´s feature distribution in red-green space using the Kohonen feature map. Feature vectors are made from these distributions. The feature vectors are used to train a multilayer network by the back-propagation method for identification
Keywords :
colour; computer vision; computerised pattern recognition; image sensors; neural nets; self-organising storage; 2D color sensor; Kohonen feature map; automatic parameter setting; back-propagation; color image data; combined neural network; feature distribution; identification; multilayer network; red-green space; Color; Feature extraction; Image sensors; Multi-layer neural network; Neural networks; Production facilities;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155521
