A novel algorithm for detecting dim point target in infrared images based on MRF

Author

Zhengrong Zuo ; Yongjian Zhao

Author_Institution

Nat. Key Lab. of Sci. & Technol. on multi-spectral Inf. Process., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2013

fDate

16-19 April 2013

Firstpage

22

Lastpage

29

Abstract

In this paper a dim point target detection algorithm based on Markov Random Field (MRF) is proposed. Firstly, the Min-Difference Filter (MDF) is applied to suppress the background in each single frame. Then an adaptive segmentation process based on 3D MRF is used to detect targets in image sequence. Unlike the traditional 3D MRF, the spatial MRF is modified and a Point-to-Region mapping according to the specific situation is proposed. Experiment results show that the proposed algorithm allows to detect IR point targets in complex backgrounds.

Keywords

Markov processes; adaptive signal processing; filtering theory; image segmentation; image sequences; infrared imaging; object detection; random processes; 3D MRF; IR point target detection; MDF; Markov random field; adaptive segmentation process; background suppression; dim point target detection; image sequence; infrared image; min-difference filter; point-to-region mapping; Computational intelligence; Decision support systems; Handheld computers; Multimedia communication; 3D Markov Random Field; Min-Difference Filter; Point Target Detection; Point-to-Region Mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), 2013 IEEE Symposium on

Conference_Location

Singapore

Print_ISBN

978-1-4673-5916-0

Type

conf

DOI

10.1109/CIMSIVP.2013.6583843

Filename

6583843