Open AccessDevelopment and research of the algorithm search of the singular points position in the aircraft vision systems
Author(s) -
А. С. Тужилкин
Publication year - 2018
Publication title -
vestnik koncerna vko «almaz - antej»
Language(s) - English
Resource type - Journals
ISSN - 2542-0542
DOI - 10.38013/2542-0542-2018-1-86-92
Subject(s) - feature (linguistics) , computer vision , artificial intelligence , scale invariant feature transform , position (finance) , rotation (mathematics) , computer science , frame (networking) , machine vision , feature detection (computer vision) , algorithm , sequence (biology) , image (mathematics) , transformation (genetics) , geometric transformation , corner detection , pattern recognition (psychology) , image processing , telecommunications , philosophy , linguistics , biochemistry , chemistry , biology , gene , genetics , finance , economics
The paper deals with the feature detection problem in aircraft machine vision systems. We developed a fast detection algorithm. We determined feature locations in an image sequence depicting fast-moving objects as registered by aircraft machine vision systems. We analysed existing feature detection algorithms. The input image frame sequence undergoes a geometric transformation, that is, rotation. We simulated how our algorithm processed a sequence of frames depicting the target. We compared efficiency and speed of feature detection in the well-known SIFT algorithm with that of our algorithm. We demonstrate that the algorithm developed ensures faster feature detection that is more resistant to geometric transformations of the target image as compared to the SIFT algorithm.