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Dynamic threshold determination by local and global edge evaluation

Venkatesh, Svetha and Rosin, Paul L. 1995, Dynamic threshold determination by local and global edge evaluation, Graphical models and image processing, vol. 57, no. 2, pp. 146-160.

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Title Dynamic threshold determination by local and global edge evaluation
Author(s) Venkatesh, Svetha
Rosin, Paul L.
Journal name Graphical models and image processing
Volume number 57
Issue number 2
Start page 146
End page 160
Total pages 15
Publisher Academic Press
Place of publication Maryland Heights, Mo.
Publication date 1995
ISSN 1077-3169
Summary In this paper we consider two methods for automatically determining values for thresholding edge maps. In contrast to most other related work they are based on the figural rather than statistical properties of the edges. The first approach applies a local edge evaluation measure based on edge continuity and edge thinness to determine the threshold on edge magnitude. The second approach is more global and considers complete connected edge curves. The curves are mapped onto an edge curve length/average magnitude feature space, and a robust technique is developed to partition this feature space into true and false edge regions. A quantitative assessment of the results on synthetic data shows that the global method performs better than the local method. Furthermore, a qualitative assessment of its application to a variety of real images shows that it reliably produces good results.
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©1995, Academic Press
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044205

Document type: Journal Article
Collection: School of Information Technology
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