DocumentCode :
2727441
Title :
Object Recognition in Presence of Blur from Fourier Transform Spectrum
Author :
Pohit, Mausumi
Author_Institution :
Amity Inst. of Appl. Sci., Amity Univ., Noida
fYear :
2009
fDate :
4-6 Feb. 2009
Firstpage :
409
Lastpage :
412
Abstract :
A new technique for recognition of objects in presence of blur is presented where the object features are chosen from the Fourier power spectrum on the locus of equal intensity points around the zero order spectrum. Here the property of 2D Fourier slice theorem and Fraunhofer distribution for 1D aperture is used to show that the spread of Fourier transform spectrum along any direction is related to the spread of the object along that direction. Computation is done on different intensity profiles to show the validity of the technique.
Keywords :
Fourier transforms; object recognition; 1D aperture; 2D Fourier slice theorem; Fourier power spectrum; Fourier transform spectrum; Fraunhofer distribution; object recognition; zero order spectrum; Apertures; Degradation; Fourier transforms; Frequency; Image databases; Image recognition; Object recognition; Pattern recognition; Shape; Testing; Fourier transform based detection; blur invariant recogntion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Pattern Recognition, 2009. ICAPR '09. Seventh International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4244-3335-3
Type :
conf
DOI :
10.1109/ICAPR.2009.20
Filename :
4782820
Link To Document :
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