User Identification Using Images of the Handwritten Characters Based on Cellular Automata and Radon Transform

2020 ◽  
pp. 91-103
Author(s):  
Stepan Bilan ◽  
Ruslan Motornyuk ◽  
Sergii Bilan ◽  
Olga Galan
Keyword(s):  
Cellular Automata ◽  
Radon Transform ◽  
User Identification

The Moving Object Detection and Research Effects of Noise on Images Based on Cellular Automata With a Hexagonal Coating Form and Radon Transform

2020 ◽  
pp. 330-359
Author(s):  
Ruslan Leonidovich Motornyuk ◽  
Stepan Mykolayovych Bilan
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Cellular Automata ◽  
Radon Transform ◽  
Experimental Analysis ◽  
Moving Objects ◽  
Image Identification ◽  
Radon Projections ◽  
Software And Hardware ◽  
Characteristic Features

Methods for image identification based on the Radon transform using hexagonal-coated cellular automata in the chapter are considered. A method and a mathematical model for the detection of moving objects based on hexagonal-coated cellular automata are described. The advantages of using hexagonal coverage for detecting moving objects in the image are shown. The technique of forming Radon projections for moving regions in the image, which is designed for a hexagonal-coated cellular automata, is described. The software and hardware implementation of the developed methods are presented. Based on the obtained results, a hexagonal-coated cellular automata was developed to identify images of objects based on the Radon transform. The Radon transform allowed to effectively extract the characteristic features of images with a large percentage of noise. Experimental analysis showed the advantages of the proposed methods of image processing and identification of moving objects.

Methods for Extracting the Skeleton of an Image Based on Cellular Automata With a Hexagonal Coating Form and Radon Transform

2020 ◽  
pp. 289-329
Author(s):  
Ruslan Leonidovich Motornyuk ◽  
Stepan Mykolayovych Bilan
Keyword(s):  
Mathematical Model ◽  
Image Processing ◽  
Cellular Automata ◽  
Radon Transform ◽  
Experimental Analysis ◽  
Moving Objects ◽  
History Of ◽  
Software And Hardware ◽  
Characteristic Features ◽  
Selection Of

The chapter describes a brief history of the emergence of the theory of cellular automata, their main properties, and methods for constructing. The image skeletonization methods based on the Euler zero differential are described. The advantages of using hexagonal coverage for detecting moving objects in the image are shown. The software and hardware implementation of the developed methods are presented. Based on the obtained results, a hexagonal-coated cellular automata was developed to identify images of objects based on the Radon transform. The method and mathematical model of the selection of characteristic features for the selection of the skeleton and implementation on cellular automata with a hexagonal coating are described. The Radon transform allowed to effectively extract the characteristic features of images with a large percentage of noise. An experiment for different images with different noises was conducted. Experimental analysis showed the advantages of the proposed methods of image processing and extraction of characteristic features.

A TCAD tool for the simulation of the CVD process based on cellular automata

2001 ◽  
Vol 11 (PR3) ◽  
pp. Pr3-205-Pr3-212
Author(s):  
G. Ch. Sirakoulis ◽  
I. Karafyllidis ◽  
A. Thanailakis
Keyword(s):  
Cellular Automata

On the use of cellular automata as space-borne calculation systems

1998 ◽  
Vol 4 (4) ◽  
pp. 49-54
Author(s):  
V.А. Val'kovskii ◽  
◽  
D.D. Zerbino ◽  
Keyword(s):  
Cellular Automata

Improved Quantum Dot Cellular Automata 4:1 Multiplexer Circuit Unit

2014 ◽  
Vol 2014 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Arighna Sarkar ◽  
◽  
Debarka Mukhopadhyay ◽  
Keyword(s):  
Cellular Automata ◽  
Quantum Dot ◽  
Quantum Dot Cellular Automata
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