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, doi: 10.1006/gmip.1995.1015. Attached Files Name Description MIMEType Size Downloads Title Dynamic threshold determination by local and global edge evaluation Author(s) Venkatesh, Svetha orcid.org/0000-0001-8675-6631 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 DOI 10.1006/gmip.1995.1015 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 Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 05 Apr 2012, 15:57:42 EST Wed, 18 Apr 2012, 15:31:50 EST Wed, 18 Apr 2012, 15:32:43 EST Mon, 30 Apr 2012, 09:53:56 EST Sat, 17 Jun 2017, 03:09:34 EST Filtered Full Citation counts:   Cited 24 times in TR Web of Science Cited 51 times in Scopus Search Google Scholar Access Statistics: 467 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 15:57:42 EST

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