Open AccessCorner detection in aerospace image by using an expandable mask
Author(s) -
Haider Makki Hammed Alzaki,
Maha Abbas Hutaihit,
Оksana Shauchuk
Publication year - 2022
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v11i2.3401
Subject(s) - pixel , artificial intelligence , brightness , contrast (vision) , computer vision , rotation (mathematics) , binary number , computer science , stability (learning theory) , image (mathematics) , mathematics , optics , physics , arithmetic , machine learning
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 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 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.