Open AccessImproved FAST corner‐detection method
Author(s) -
Xiong Wenyi,
Tian Weiming,
Yang Zhijun,
Niu Xiaowei,
Nie Xiangfei
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0400
Subject(s) - corner detection , speckle noise , pixel , artificial intelligence , speckle pattern , computer science , noise (video) , computer vision , scale invariant feature transform , similarity (geometry) , pattern recognition (psychology) , image (mathematics)
An improved features from accelerated segment test (FAST) corner‐detection method for suppressing SAR image speckle noise is proposed here. The direction of the corner candidate is first computed by the law of universal gravitation and is introduced into corner detection to divide the 16 pixels around the corner candidate into two groups without repeatedly searching. Then, the similarity between the corner candidate and its surrounding pixels is computed to suppress the points affected by SAR speckle noise. Finally, the phenomenon of corner density is eliminated based on non‐maximum suppression. The experimental results show that authors’ method has better suppressing effect compared with FAST‐8 and SIFT corner‐detection methods.