NDLI: An extension of Marr's signature based edge classification and other methods determining diffuseness and height of edges, and bar edge width

Content Provider	IEEE Xplore Digital Library
Author	Zhang, W. Bergholm, F.
Copyright Year	1993
Description	Author affiliation: Comput. Vision & Active Perception Lab., R. Inst. of Technol., Stockholm, Sweden (Zhang, W.; Bergholm, F.)
Abstract	The authors classify edges with respect to diffuseness and profile type by using a tool evolved from scale space methodology called signatures. The method also enables the user to measure degree of diffuseness, height of edges, and bar edge width. The Gaussian difference signatures and apparent width signatures used are defined. To sift out the major edges, subsets of edge pixels must be selected. For describing the local gray level, landscape averaging needs to be done in a noncommittal fashion, as opposed to fitting a specific function blindly to data. Edge focusing, which is a coarse-to-fine traversal of brightness changes, deals with the subsets, whereas signatures may be thought of as a kind of reasonably cleverly done averaging. This method is of importance for distinguishing between illumination phenomena and object edges, performing depth-from-focus in single images, and in junction analysis.<>
Starting Page	183
Ending Page	191
File Size	1045501
Page Count	9
File Format	PDF
ISBN	0818638702
DOI	10.1109/ICCV.1993.378221
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1993-05-11
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Filters Focusing Lighting Computer vision Laboratories Image analysis Layout Reflection Humans Brightness
Content Type	Text
Resource Type	Article

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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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