Степан Белан - Academia.edu (original) (raw)

Степан Белан

Степан Белан

Related Authors

Armando Marques-Guedes

Jose Ragas

Jose Ragas

Pontificia Universidad Catolica de Chile

Journal of Computer Science IJCSIS

Syafrudin  M Top

Ji-Jian Chin

Sachin  Gupta

Jai Maurya

Mehmet Hilal Özcanhan

Seema Bawa

Uploads

Papers by Степан Белан

Research paper thumbnail of Identification of Rolling Stock of Railways Based on Multi-Projection Image Processing Methods

The paper considers the method for identifying railway rolling stock based on the parallel shift ... more The paper considers the method for identifying railway rolling stock based on the parallel shift technology and Radon transformation using cellular automata. The main stages of the method are considered, which consist of: fixing a moving object, extracting an identifier image, removing noise, extracting characteristic features and comparing with a standard. To fix the rolling stock, the selection of pixels is used, which have changed their properties on adjacent frames, taking into account the sensitivity and speed of movement. The selected pixels are used to select a rectangular window containing a license plate. To remove noise in the selected image, the parallel shift technology and the Radon transform, implemented on cellular automata with a hexagonal covering, are used. The method is implemented for images subject to various distortions that affect the identification result.

Research paper thumbnail of Identification of a Person by Palm Based on an Analysis of the Areas of the Inner Surface

Biometric Identification Technologies Based on Modern Data Mining Methods, 2020

Research paper thumbnail of Identification of Rolling Stock of Railways Based on Multi-Projection Image Processing Methods

The paper considers the method for identifying railway rolling stock based on the parallel shift ... more The paper considers the method for identifying railway rolling stock based on the parallel shift technology and Radon transformation using cellular automata. The main stages of the method are considered, which consist of: fixing a moving object, extracting an identifier image, removing noise, extracting characteristic features and comparing with a standard. To fix the rolling stock, the selection of pixels is used, which have changed their properties on adjacent frames, taking into account the sensitivity and speed of movement. The selected pixels are used to select a rectangular window containing a license plate. To remove noise in the selected image, the parallel shift technology and the Radon transform, implemented on cellular automata with a hexagonal covering, are used. The method is implemented for images subject to various distortions that affect the identification result.

Research paper thumbnail of Identification of a Person by Palm Based on an Analysis of the Areas of the Inner Surface

Biometric Identification Technologies Based on Modern Data Mining Methods, 2020

Log In