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Scale detection and region extraction from a scale-space primal sketch
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.
1990 (English)In: Computer Vision, 1990. Proceedings, Third International Conference on, IEEE Computer Society, 1990, 416-426 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present: (1) a multi-scale representation of gray-level shape, called a scale-space primal sketch, which makes explicit both features in scale-space and the relations between features at different levels of scales; (2) a theory for extraction of significant image structure from this representation; and (3) applications to edge detection, histogram analysis and junction classification demonstrating how the proposed method can be used for guiding later stage processing. The representation gives a qualitative description of the image structure that allows for detection of stable scales and regions of interest in a solely bottom-up data-driven way. In other words, it generates coarse segmentation cues and can be hence seen as preceding further processing, which can then be properly tuned. We argue that once such information is available many other processing tasks can become much simpler. Experiments on real imagery demonstrate that the proposed theory gives perceptually intuitive results.

Place, publisher, year, edition, pages
IEEE Computer Society, 1990. 416-426 p.
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-58590DOI: 10.1109/ICCV.1990.139563ISBN: 0-8186-2057-9 (print)OAI: oai:DiVA.org:kth-58590DiVA: diva2:473392
Conference
International Conference on Computer Vision (ICCV'90), Osaka, Japan, Dec 4-7, 1990
Note

QC 20140805

Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2015-07-01Bibliographically approved

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