Application of sequential processing of computer vision methods for solving the problem of detecting the edges of a honeycomb block

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH 2020

Год издания: 2020

Идентификатор DOI: 10.1088/1742-6596/1679/4/042098

Аннотация: The article describes the application of the Hough transform to a honeycomb block image. The problem of cutting a mold from a honeycomb block is described. A number of image transformations are considered to increase the efficiency of the Hough algorithm. A method for obtaining a binary image using a simple threshold, a method for Показать полностьюobtaining a binary image using Otsu binarization, and the Canny Edge Detection algorithm are considered. The method of binary skeleton (skeletonization) is considered, in which the skeleton is obtained using 2 main morphological operations: Dilation and Erosion. As a result of a number of experiments, the optimal sequence of processing the original image was revealed, which allows obtaining the coordinates of the maximum number of faces. This result allows one to choose the optimal places for cutting a honeycomb block, which will improve the quality of the resulting shapes. © Published under licence by IOP Publishing Ltd.

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Издание

Журнал: Journal of Physics: Conference Series

Выпуск журнала: Vol. 1679, Is. 4

Номера страниц: 42098

ISSN журнала: 17426588

Издатель: IOP Publishing Ltd

Персоны

  • Saramud M.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av.31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny pr.79, Krasnoyarsk, 660041, Russian Federation)
  • Paulin I.A. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av.31, Krasnoyarsk, 660037, Russian Federation)
  • Saramud M.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av.31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny pr.79, Krasnoyarsk, 660041, Russian Federation)
  • Kubrikova A.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av.31, Krasnoyarsk, 660037, Russian Federation)

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