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Title: A novel morphological operator to calculate Euler number
Author (s): Zhang, Zhao
Moss, Randy Hays
Stoecker, W.V.
Department/Lab Affiliations: Electrical and Computer Engineering
Image Processing Laboratory
Keywords: Euler number calculation
binary images
edge detection
eight-connectedness
four-connectedness
mathematical morphology
morphological operator
Issue Date: 2001
Publisher: Institute of Electrical and Electronics Engineers
Citation: Zhao Zhang; Moss, R.H.; Stoecker, W.V., "A novel morphological operator to calculate Euler number," International Workshop on Medical Imaging and Augmented Reality, 2001 Proceedings, pp.226-228, 2001
Abstract: This paper introduces a novel morphological operator to calculate the Euler number for binary images. The operator is based on the condition of eight-connectedness for foreground and four-connectedness for background. It is significantly faster than the previous operators. The morphological operations used in border detection are discussed
Type: Article - Conference proceedings
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titleA novel morphological operator to calculate Euler number
contributor.authorZhang, Zhao
contributor.authorMoss, Randy Hays
contributor.authorStoecker, W.V.
contributor.deptlabElectrical and Computer Engineering
contributor.deptlabImage Processing Laboratory
subjectEuler number calculation
subjectbinary images
subjectedge detection
subjecteight-connectedness
subjectfour-connectedness
subjectmathematical morphology
subjectmorphological operator
date.issued2001
date.submitted2007
publisherInstitute of Electrical and Electronics Engineers
identifier.citationZhao Zhang; Moss, R.H.; Stoecker, W.V., "A novel morphological operator to calculate Euler number," International Workshop on Medical Imaging and Augmented Reality, 2001 Proceedings, pp.226-228, 2001
identifier.pub.URI
http://ieeexplore.ieee.org/iel5/7405/20116/00930291.pdf?arnumber=93029
description.abstractThis paper introduces a novel morphological operator to calculate the Euler number for binary images. The operator is based on the condition of eight-connectedness for foreground and four-connectedness for background. It is significantly faster than the previous operators. The morphological operations used in border detection are discussed
typeArticle - Conference proceedings
type.DCMITypetext
type.statusFinal version
rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
rights.URI
http://www.ieee.org/web/publications/rights/policies.html
date.accessioned2007-04-05T14:10:10Z
date.available2007-04-05T14:10:10Z
identifier.persist.URI
http://scholarsmine.mst.edu/post_prints/00930291_09007dcc8030c7da.html
Full Text
00930291_09007dcc8030c7df.pdf