Neural network based on multivalued neurons and its application to image recognition and blur recognition

Igor N. Aizenberg; Constantine Butakoff

doi:10.1117/12.420939

4 April 2001 Neural network based on multivalued neurons and its application to image recognition and blur recognition

Igor N. Aizenberg, Constantine Butakoff

Proceedings Volume 4305, Applications of Artificial Neural Networks in Image Processing VI; (2001) https://doi.org/10.1117/12.420939
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

Some important ideas of image recognition using neural network based on multi-valued neurons are being developed in this paper. We are going to discuss the recognition of color images, which is reduced to recognition of gray-scale images. An approach, which has been developed, is illustrated by simulation results. Recognition of distortion (blur) types, distortion parameters and recognition of images with distorted training set using the same neural network is also considered. At this time Gaussian blur and motion blur were taken as distortions. This part of work is also illustrated by simulation results.

Citation Download Citation

Igor N. Aizenberg and Constantine Butakoff "Neural network based on multivalued neurons and its application to image recognition and blur recognition", Proc. SPIE 4305, Applications of Artificial Neural Networks in Image Processing VI, (4 April 2001); https://doi.org/10.1117/12.420939

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