DocumentCode :
299426
Title :
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
Link To Document :
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