DocumentCode :
300624
Title :
Composite phase and phase-based Gabor element aggregation
Author :
Braithwaite, R. Neil ; Bhanu, Bir
Author_Institution :
3241 N. Green Rd., Oak Harbor, WA, USA
Volume :
1
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
538
Abstract :
This paper describes how the phase, obtained by Gabor filtering an image, can be used to aggregate related Gabor elements (simple features identified by peaks in the Gabor magnitude). This phase-based feature grouping simplifies the perennial problem of target/background segmentation because we need to only determine if the aggregate feature is target or background, rather than determine the status of each feature independently. Since the phase from a single quadrature Gabor output cannot tolerate large changes in orientation, a new local measure, referred to as the composite phase, has been developed. It is a combination of the filter responses from multiple orientations which allows the phase to follow contours with large changes in orientation. A constant composite phase contour is used to connect related Gabor elements that would otherwise appear separated within the magnitude response
Keywords :
feature extraction; filtering theory; image segmentation; infrared imaging; Gabor element aggregation; Gabor filtering; composite phase; constant composite phase contour; image filtering; local measure; magnitude response; multiple orientations; phase-based feature grouping; target/background segmentation; Aggregates; Band pass filters; Data mining; Filtering; Frequency measurement; Gabor filters; Image segmentation; Kernel; Phase measurement; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.531422
Filename :
531422
Link To Document :
بازگشت