Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms

Hung, A; Nguyen, HT; Thornton, BS; Zinder, Y

Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms

Hung, A

Nguyen, HT

Thornton, BS Zinder, Y

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Publisher:: The Australian National University
Publication Type:: Journal Article
Citation:: Australian Journal of Intelligent Information Processing Systems, 2003, 8 (2), pp. 51 - 56
Issue Date:: 2003-01

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Field	Value	Language
dc.contributor.author	Hung, A https://orcid.org/0000-0002-0058-1680	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.contributor.author	Thornton, BS	en_US
dc.contributor.author	Zinder, Y	en_US
dc.date.issued	2003-01	en_US
dc.identifier.citation	Australian Journal of Intelligent Information Processing Systems, 2003, 8 (2), pp. 51 - 56	en_US
dc.identifier.issn	1321-2133	en_US
dc.identifier.uri	http://hdl.handle.net/10453/9024
dc.description.abstract	Images egmentationis an importent componento f imagop rocessings irce significantt ime can be savedi f a region of interest is extracted by al efficient segmentationa lgorithm. A dynamic programming image segmentation algorithnr is presented. The algorithm is applicable to images with a large matrix of gray levels of pixel values and generatesa path separatingt he object from the background.T he report of a.na pplication of the proposed algorithm to digitised mammotramsc omplementsit s description.	en_US
dc.publisher	The Australian National University	en_US
dc.relation	http://purl.org/au-research/grants/arc/C10010018
dc.relation.ispartof	Australian Journal of Intelligent Information Processing Systems	en_US
dc.title	Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	8	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	open_access
pubs.consider-herdc	false	en_US
pubs.issue	2	en_US
pubs.volume	8	en_US

Abstract:

Images egmentationis an importent componento f imagop rocessings irce significantt ime can be savedi f a region of interest is extracted by al efficient segmentationa lgorithm. A dynamic programming image segmentation algorithnr is presented. The algorithm is applicable to images with a large matrix of gray levels of pixel values and generatesa path separatingt he object from the background.T he report of a.na pplication of the proposed algorithm to digitised mammotramsc omplementsit s description.

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http://hdl.handle.net/10453/9024