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Finding Boundaries in Images

Malik, Jitendra and Perona, Pietro (1990) Finding Boundaries in Images. In: Twenty-Fourth Asilomar Conference on Signals, Systems and Computers. Maple Press , San Jose, CA, pp. 800-804. ISBN 0-8186-2180-X.

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In computational vision, finding the boundaries of the regions in a image which correspond to different surfaces in the scene is usually approached as a problem of detecting brightness edges. In this paper, we argue that this is a limited view. Boundaries in images could be associated with differences on a number of visual attributes-brightness, color, texture, stereoscopic disparity and motion-all of which are utilized in human vision. Machine vision systems should do the same. We argue that convolution of the image with a bank of Gaussian derivative filters is a suitable common first stage for this task. We also present some new results on the problem of detecting and localizing brightness edges composed of step, peak and roof profiles.

Item Type:Book Section
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Perona, Pietro0000-0002-7583-5809
Additional Information:© 1990 Maple Press. Date of Current Version: 06 August 2002. This research was supported by NSF Presidential Young Investigator Award No. IRI-8957274 to J. Malik. P. Perona conducted part of this research while at the International Computer Science Institute, Berkeley.
Funding AgencyGrant Number
NSF Presidential Young Investigator AwardIRI-8957274
Record Number:CaltechAUTHORS:20120509-131143659
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Official Citation:Malik, J.; Perona, P.; , "Finding Boundaries in Images," Signals, Systems and Computers, 1990 Conference Record Twenty-Fourth Asilomar Conference on , vol.2, no., pp.800, 5-7 Nov 1990 doi: 10.1109/ACSSC.1990.523449 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:31380
Deposited By: Tony Diaz
Deposited On:09 May 2012 22:18
Last Modified:09 Nov 2021 19:52

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