Multiscale edge detection for infrared ship target recognition

Author

Jun, Lu ; Wenxian, Yu ; Yue, Jin ; Guirong, Guo

Author_Institution

Dept. of Electr. Eng, Nat. Univ. of Defense Tech., Changsha, China

Volume

1

fYear

1995

fDate

22-26 May 1995

Firstpage

314

Abstract

In this paper, a fuzzy multiscale edge detection method is proposed, based on wavelet transform. The goal is to relate the results of this analysis to the structure of the IIR for ship target recognition. Experiments are carried out for the method with practical IIR added with white noise, and the corresponding results indicate that the advantage of the new algorithm is fuzzy multiresolution image segmentation which is similar to human vision. It is good at suppressing noise and background fluctuation

Keywords

IIR filters; edge detection; fuzzy logic; image segmentation; infrared imaging; optical tracking; ships; surveillance; target tracking; wavelet transforms; white noise; IIR; background fluctuation; fuzzy multiscale edge detection; image segmentation; infrared target recognition; ship target recognition; wavelet transform; white noise; Background noise; Humans; Image edge detection; Image resolution; Image segmentation; Infrared detectors; Marine vehicles; Target recognition; Wavelet transforms; White noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1995. NAECON 1995., Proceedings of the IEEE 1995 National

Conference_Location

Dayton, OH

ISSN

0547-3578

Print_ISBN

0-7803-2666-0

Type

conf

DOI

10.1109/NAECON.1995.521957

Filename

521957