Open AccessA Corner Detection Algorithm Based on Regional Center of Mass in Imaging through Water Surface
Author(s) -
Changli Mai,
Bijian Jian,
Yongfa Ling
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2083/3/032090
Subject(s) - corner detection , centroid , artificial intelligence , computer vision , computer science , underwater , feature (linguistics) , image (mathematics) , interest point detection , point (geometry) , feature extraction , feature detection (computer vision) , change detection , image registration , pattern recognition (psychology) , image processing , mathematics , geology , linguistics , oceanography , philosophy , geometry
Structural light active imaging can obtain more information about the target scene, which is widely used in image registration,3D reconstruction of objects and motion detection. Due to the random fluctuation of water surface and complex underwater environment, the current corner detection algorithm has the problems of false detection and uncertainty. This paper proposes a corner detection algorithm based on the region centroid extraction. Experimental results show that, compared with the traditional detection algorithms, the proposed algorithm can extract the feature point information of the image in real time, which is of great significance to the subsequent image restoration.