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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/289812
Title: Corner detection in aerospace image by using an expandable mask
Authors: Alzaki, Haider Makki Hammed
Hutaihit, Maha Abbas
Shauchuk, Оksana
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физика
Issue Date: 2022
Publisher: Institute of Advanced Engineering and Science
Citation: Bull Electr Eng Inform 2022;11(2):1157-1166.
Abstract: An algorithm for searching the breaks in contours based on an expandable mask in the image is proposed. The essence of the algorithm is to eliminate straight contour lines using a form factor. Sequential application of a 3 × 3 pixel binary mask for each pixel of the contour, except the endpoints, and joining the unit elements to the mask (growing) in the vicinity of the pixel, for which it is impossible to determine whether the fracture using a mask 3 × 3 pixel. The analysis of the proposed algorithm is compared with Harris method when changing registration conditions of images, specially, brightness, contrast, and rotation. Shown, that the proposed algorithm is more stable with increasing contrast and has a shorter running time compared with Harris method on account of loss the stability with decreasing contrast.
URI: https://elib.bsu.by/handle/123456789/289812
DOI: 10.11591/eei.v11i2.3401
Scopus: 85128251468
Licence: info:eu-repo/semantics/openAccess
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