Abstract
Two techniques are presented for corner detection. First, a band of filters are applied with equal radial spatial frequency, but different orientation preferences locally in the image domain. From the energy response, a linear Fourier transform is taken to give confidence measures of both “cornerness” and “edgeness. Second, we consider a multi-local spatial separation of filters that lie on a constant radius from a point of interest. This second stage of processing allows a wider classification of image structure. As a result, we infer the presence of line end points, “L”, “T”, “Y” and “X” junctions using epistemic probabilities. The results are indicative of a relationship between Fourier and Spatial domain models of filtering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Harris. C and Stephens. M.A combined corner and edge detector. Proc. 4th Alvey vision conf., 147-151, 1988.
Knutsson. H., Wilson. R.G., and Granlund. G. Estimating the orientation of local anistropic 2-d signals. IEEE. A.S.S.P., Florida, 234-239, 1983.
Du Li, Sullivan. G.D, and Baker. K.D. Edge detection at junctions. 5th Alvey vision conf., 121-127, 1989.
Noble. A. Finding corners. 3rd Alvey Vision Conference, 267-274, 1987.
Willsky A.S. Fourier series and estimation on the circle with applications to synchronous communication. part 1:analysis. IEEE Trans. Info. Theory, IT-20, 5, 1974.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1991 Springer-Verlag London Limited
About this paper
Cite this paper
Langley, K., Atherton, T.J. (1991). The Inference of Structure in Images using Multi-local Quadrature Filters. In: Mowforth, P. (eds) BMVC91. Springer, London. https://doi.org/10.1007/978-1-4471-1921-0_15
Download citation
DOI: https://doi.org/10.1007/978-1-4471-1921-0_15
Publisher Name: Springer, London
Print ISBN: 978-3-540-19715-7
Online ISBN: 978-1-4471-1921-0
eBook Packages: Springer Book Archive