The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Local scale control for edge detection and blur estimation
Abstract
We show that knowledge of sensor properties and operator norms can be exploited to define a unique, locally computable minimum reliable scale for local estimation at each point in the image. This method for local scale control is applied to the problem of detecting and localizing edges in images with shallow depth of field and shadows. We show that edges spanning a broad range of blur scales and contrasts can be recovered accurately by a single system with no input parameters other than the second moment of the sensor noise. A natural dividend of this approach is a measure of the thickness of contours which can be used to estimate focal and penumbral blur. Local scale control is shown to be important for the estimation of blur in complex images, where the potential for interference between nearby edges of very different blur scale requires that estimates be made at the minimum reliable scale.
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Citations
Cites
A Computational Approach to Edge Detection
Canny, J. (1986) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1986.4767851 · Cited by 30,004
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
Marr, D., & Hildreth, E. (1980) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1980.0020 · Cited by 6,510
Koenderink, J. J. (1984) · Biological Cybernetics · doi:10.1007/bf00336961 · Cited by 2,452
Cited by
The variable bandwidth mean shift and data-driven scale selection
Comaniciu, D., Ramesh, V., & Meer, P. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937550 · Cited by 420
Blind Motion Deblurring Using Image Statistics
Levin, A. (2007) · Advances in Neural Information Processing Systems 19 · doi:10.7551/mitpress/7503.003.0110 · Cited by 396
Forster, B., Van De Ville, D., Berent, J., Sage, D., & Unser, M. (2004) · Microscopy Research and Technique · doi:10.1002/jemt.20092 · Cited by 393
Ecological statistics of Gestalt laws for the perceptual organization of contours
Elder, J. H., & Goldberg, R. M. (2002) · Journal of Vision · doi:10.1167/2.4.5 · Cited by 333
Self-citationMulti-scale phase-based local features
Carneiro, G., & Jepson, A. D. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211426 · Cited by 104
Metadata
- Authors
- Elder, J. H., & Zucker, S. W.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1998-07
- Volume
- 20
- Issue
- 7
- Pages
- 699-716
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2104564430
- Cited by
- 558
- References
- 4
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- Elder, J. H., & Zucker, S. W. (1998). Local scale control for edge detection and blur estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.689301
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