Infrared dim target detection based on fractal dimension and third-order characterization
Chinese Optics Letters, Vol. 7, Issue 10, pp. 931-933 (2009)
Acrobat PDF (1133 KB)
Abstract
We propose an improved algorithm based on fractal dimension and third-order characterization to detect dim target with cluttered background in an infrared (IR) image. We also illustrate the performance and efficiency comparisons between the presented algorithm and the traditional fractal detection method on real IR images. The experimental results show that the proposed algorithm is robust and efficient for IR dim target detection.
© 2009 Chinese Optics Letters
OCIS Codes
(040.1880) Detectors : Detection
(040.3060) Detectors : Infrared
(100.2000) Image processing : Digital image processing
(100.3008) Image processing : Image recognition, algorithms and filters
Citation
Xin Wang, Lei Liu, and Zhenmin Tang, "Infrared dim target detection based on fractal dimension and third-order characterization," Chin. Opt. Lett. 7, 931-933 (2009)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-7-10-931
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Log in to access OSA Member Subscription





OSA is a member of 