A method for single frame detection of infrared dim small target in complex background. (September 2020)

• Record Type: Journal Article
• Authors: Xu, Yongli; Wang, Weihua
• Is Part Of: Journal of physics. Volume 1634(2020)
• Publication Date: 2020-09
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1634/1/012063
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: In order to solve the problem of high false alarm rate caused by strong disturbance (the ground objects, uncertain strong noise) in complex background, we propose a novel algorithm based on density peaks searching and improved region growing. Initially, density peaks searching is employed to select the candidate targets quickly; then, improved region growing with introducing the relative local contrast and the local gray average is used to extract the features of candidate targets; finally, an adaptive threshold is applied to extract real targets. Experimental results on two real sequences show that the proposed algorithm has a better effectiveness against existing algorithms.