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
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;
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
DOI :
10.1109/OPTIM.2008.4602472
