A new preprocessing algorithm for detection of a small dim target in an IR image squence

Author

Fan, Xiao-yan ; Pan, Bao-chang ; Liang, Jian ; Huang, Yong-hui

Author_Institution

Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China

fYear

2012

fDate

15-17 July 2012

Firstpage

58

Lastpage

61

Abstract

In this paper, we propose a new algorithm to preprocess an IR image sequence for the detection of a small target which is undistinguishable because it is dim and embedded in strong clutter. This algorithm integrates the background suppression based on wavelet transform and the improved frame difference to enhance the target intensity, suppress the cluster, and improve the SNR. Experimental results with a real IR sequence in OTCBVS Benchmark Dataset Collection illustrate that this approach is very feasible and effective to improve the SNR and make the dim target well distinguishable.

Keywords

clutter; image denoising; image sequences; infrared detectors; object detection; wavelet transforms; IR image sequence preprocessing algorithm; OTCBVS benchmark dataset collection; SNR; background suppression; clutter; frame difference; small dim target detection; target intensity; wavelet transform; Clustering algorithms; Clutter; Object detection; Signal to noise ratio; Wavelet analysis; Wavelet transforms; IR image sequence; Small dim target; background suppression; frame difference; preprocessing; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on

Conference_Location

Xian

ISSN

2158-5695

Print_ISBN

978-1-4673-1534-0

Type

conf

DOI

10.1109/ICWAPR.2012.6294755

Filename

6294755