DocumentCode
2624635
Title
A new invariant set for video pattern recognition in ATR systems
Author
Vizitiu, I.C. ; Molder, C. ; Radu, I.A. ; Munteanu, D.P.
Author_Institution
Dept. of Commun., Mil. Tech. Acad., Bucharest
fYear
2008
fDate
22-24 May 2008
Firstpage
149
Lastpage
154
Abstract
The choice of an appropriate feature extraction method is essential for the success of the classification or recognition process. T his paper proposes a design method for a new pattern descriptor set based on the Flusser moment class, which is invariant to elementary geometric transformations and has an increased robustness to the action of some perturbations. Experimental results based on the use of a real video image database confirm the basic properties of this new descriptor set.
Keywords
feature extraction; image recognition; image segmentation; video signal processing; ATR systems; feature extraction method; video pattern recognition; Algorithm design and analysis; Design methodology; Digital images; Feature extraction; Image databases; Image recognition; Image segmentation; Military communication; Pattern recognition; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on
Conference_Location
Brasov
Print_ISBN
978-1-4244-1544-1
Electronic_ISBN
978-1-4244-1545-8
Type
conf
DOI
10.1109/OPTIM.2008.4602472
Filename
4602472
Link To Document