Abstract
An image recognition technology based on neural network processing of static and dynamic imagesusing cellular automata (CA) is proposed. The principles of the implementation of image processing operations withthe use of KA (in particular, pre-processing operations, contour selection and recognition) are considered. The peculiaritiesof the construction of convolutional neural networks (CNN) and their use for image recognition are analyzed.The possibilities of integrating CA into a neural network model of image classification and recognition are considered.The results of the development and software implementation of the neural network technology of image recognitionusing SNM and CA are given. Modeling of the proposed technology was carried out (on the example of the problem ofrecognizing visual objects for users with limited visual perception). development and software implementation of neuralnetwork technology for image recognition using SNM and CA.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
