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Near-Gabor filter banks for feature detection and curvature estimation

Lookup NU author(s): Stephen Purves, Professor Satnam Dlay


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Accurate detection of elementary features such as edges and lines in digital images plays an important role in early vision and is included as a first step in many image processing systems. An efficient and flexible form of feature detection is based on the responses of sets of orientation selective filters. These steerable filters can be designed to posses near Gabor properties and provide a derivable interpolation function over orientation. However, these filters are rarely designed using non-circular receptive fields and cannot be optimized in terms of angular selectivity. A line of reasoning is developed here which allows orientation selective filters to be constructed using elliptical window functions and used within a conventional steerable filter bank system. Results suggest an optimal situation existing between the rejection of unwanted signals and high angular selectivity of filters. Further results are developed which emphasize phase differences between elliptical and circular filter responses as a measure of locally convex curvature maxima.

Publication metadata

Author(s): Purves SJ, Dlay SS

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Proceedings of SPIE - The International Society for Optical Engineering

Year of Conference: 2000

Pages: 659-668

ISSN: 0277-786X

Publisher: The International Society for Optical Engineering


DOI: 10.1117/12.387199