Estimating the phase congruency of localised frequencies
Estimating the phase congruency of localised frequencies
Phase congruency is a new method for detecting features in images. One of its significant strengths is its invariance to lighting variation within an image, as well as being able to detect a wide range of interesting features. We present a method for estimating the phase congruency of localised frequencies that cannot be measured separately by Gabor filters. We show that by measuring the ratio of the standard deviation to the mean energy between different phase shifted Gabor filters that we are able to estimate whether the localised frequencies are phase congruent. We then show example results from applying this estimation procedure to a set of images. We also show improvements when compared to another phase congruency detector. We conclude that the concept of estimating the phase congruency of localised features is possible, but more work is needed to mature the technique to a robust feature detector.
Feature Extraction Phase Congruency
Myerscough, Peter J
f13012e0-da87-40c1-bac6-2ca00cdef8bb
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
2004
Myerscough, Peter J
f13012e0-da87-40c1-bac6-2ca00cdef8bb
Nixon, Mark S
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Myerscough, Peter J and Nixon, Mark S
(2004)
Estimating the phase congruency of localised frequencies.
IEEE ICIP 2004, 2004.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Phase congruency is a new method for detecting features in images. One of its significant strengths is its invariance to lighting variation within an image, as well as being able to detect a wide range of interesting features. We present a method for estimating the phase congruency of localised frequencies that cannot be measured separately by Gabor filters. We show that by measuring the ratio of the standard deviation to the mean energy between different phase shifted Gabor filters that we are able to estimate whether the localised frequencies are phase congruent. We then show example results from applying this estimation procedure to a set of images. We also show improvements when compared to another phase congruency detector. We conclude that the concept of estimating the phase congruency of localised features is possible, but more work is needed to mature the technique to a robust feature detector.
More information
Published date: 2004
Additional Information:
Event Dates: Oct
Venue - Dates:
IEEE ICIP 2004, 2004, 2004-10-01
Keywords:
Feature Extraction Phase Congruency
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 260098
URI: http://eprints.soton.ac.uk/id/eprint/260098
PURE UUID: 8d9a06c5-bb6b-4a19-baad-e29f7b38e184
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Date deposited: 12 Nov 2004
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Peter J Myerscough
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