Neural network based on multivalued neurons and its application to image recognition and blur recognition
Igor N. Aizenberg, Constantine Butakoff · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.