Abstract
In this paper, a small target detection algorithm in infrared image is proposed. First, an infrared image is coarse-to-fine segmented automatically by self-adaptive histogram segmentation. After detecting small abnormal region in segmented image and defining them to candidate targets, the abnormality based confidence of each candidate target is calculated and sorted. Finally, the candidate target with the maximum confidence is weighed to be real one. The experiments demonstrate that the proposed method is efficient and robust.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Shaik, J., Iftekharuddin, K.M.: Detection and tracking of targets in infrared images using Bayesian techniques. Optics and Laser Tech. 41, 832–842 (2009)
Yang, L., Yang, J., Yang, K.: Adaptive detection for infrared small target under sea-sky complex background. Electron. Lett. 40(17), 1083–1085 (2004)
Gu, Y.F., Wang, C., Liu, B.X., Zhang, Y.: Kernel-based nonparametric regression method for clutter removal in infrared small-target detection applications. IEEE Geosci. Remote Sens. Lett. 7, 469–473 (2010)
Wang, P., Tian, J.W., Gao, C.Q.: Infrared small target detection using dinfraredectional highpass filters based on LS-SVM. Electron. Lett. 45(3), 156–158 (2009)
Wang, G.D., Chen, C., Shen, X.B.: Facet-based infrared small target detection method. Electron. Lett. 41(22), 1244–1246 (2005)
Gao, C.D., Zhang, T.Q., Li, Q.: Small infrared target detection using sparse ring representation. IEEE Aerosp. Electron. Syst. Mag. 27(3), 21–30 (2012)
Qi, S.X., Ma, J., Tao, C.: A Robust Directional Saliency-Based Method for Infrared Small-Target Detection Under Various Complex Backgrounds. IEEE Trans. Geosci. and Remote Lett. 99, 1–5 (2012)
Wang, X., Lv, G.F., Xu, L.Z.: Infrared dim target detection based on visual attention. Infrared Physics and Technology 55(6), 513–521 (2012)
Yilmaz, K., Shafique, M.: Target Tracking in Airborne Forward Looking Infrared Imagery. Image and Vision Comput. J. 21(7), 623–635 (2003)
Parag, T.: Coupled label and intensity MRF models for IR target detection. In: CVPR Workshops, pp. 7–13 (2011)
Zhang, L., Wu, B., Nevatia, R.: Pedestrian detection in infrared images based on local shape features. In: CVPR Workshop OTCBVS, pp. 1–8 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Li, H., Wang, Z., Tian, T., Huang, H. (2015). A Small Infrared Target Detection Method Based on Coarse-to-Fine Segmentation and Confidence Analysis. In: Tan, T., Ruan, Q., Wang, S., Ma, H., Di, K. (eds) Advances in Image and Graphics Technologies. IGTA 2015. Communications in Computer and Information Science, vol 525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47791-5_47
Download citation
DOI: https://doi.org/10.1007/978-3-662-47791-5_47
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47790-8
Online ISBN: 978-3-662-47791-5
eBook Packages: Computer ScienceComputer Science (R0)