NDLI: The distinctiveness of a curve in a parameterized neighborhood: extraction and applications

Content Provider	IEEE Xplore Digital Library
Author	Yu Chin Cheng
Copyright Year	1979
Abstract	A new feature of curves pertaining to the acceptance/rejection decision in curve detection is proposed. The feature measures a curve's distinctiveness in its neighborhood, which is modeled by a one-parameter family of curves. A computational framework based on the Hough transform for extracting the distinctiveness feature is elaborated and examples of feature extractors for the circle and the ellipse are given. It is shown that the proposed feature can be extracted efficiently and is effective in separating signals from false positives. Experimental results with circle and ellipse testing that strongly support the efficiency and effectiveness claims are obtained. The results further demonstrate that the proposed feature exhibits good noise resiliency
Sponsorship	IEEE Computer Society
Page Count	8
File Size	1960627
Starting Page	1215
Ending Page	1222
File Format	PDF
ISSN	01628828
Volume Number	28
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Application software Shape Pixel Computer Society Testing Solid modeling Pattern analysis Object recognition Signal processing object recognition. Feature representation feature extraction feature evaluation and selection geometric models Hough transform pattern analysis
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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