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

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dc.contributor.author Hung, A
dc.contributor.author Nguyen, HT
dc.contributor.author Thornton, BS
dc.contributor.author Zinder, Y
dc.date.accessioned 2010-05-28T09:47:00Z
dc.date.issued 2003-01
dc.identifier.citation Australian Journal of Intelligent Information Processing Systems, 2003, 8 (2), pp. 51 - 56
dc.identifier.issn 1321-2133
dc.identifier.other C1UNSUBMIT 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.
dc.publisher The Australian National University
dc.title Dynamic Programming Approach to Image Segmentation and its Application to Pre-processing of Mammograms
dc.type Journal Article
dc.parent Australian Journal of Intelligent Information Processing Systems
dc.journal.volume 2
dc.journal.volume 8
dc.journal.number 2 en_US
dc.publocation Canberra, Australia en_US
dc.identifier.startpage 51 en_US
dc.identifier.endpage 56 en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 994994
dc.personcode 840115
dc.personcode 930901
dc.personcode 912647
dc.percentage 100 en_US
dc.classification.name Artificial Intelligence and Image Processing en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords digiticedr nammogrcphyi,m ages egmentotiond, ynamicp rogromming,i mage bord,eirl etection
pubs.embargo.period Not known
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/Strength - Health Technologies
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc false
utslib.collection.history General (ID: 2)
utslib.collection.history School of Mathematical Sciences (ID: 340)


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