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dc.contributor.authorGharipour, Amin
dc.contributor.authorLiew, Alan Wee-Chung
dc.date.accessioned2017-08-30T05:00:48Z
dc.date.available2017-08-30T05:00:48Z
dc.date.issued2015
dc.identifier.isbn9781467367950
dc.identifier.doi10.1109/DICTA.2015.7371218
dc.identifier.urihttp://hdl.handle.net/10072/339297
dc.description.abstractFluorescence microscopy image segmentation is a central task in high-throughput applications such as protein expression quantification and cell function investigation. In this paper, a multiple kernel local level set segmentation algorithm is introduced as a framework for fluorescence microscopy cell image segmentation. In this framework, a new local region-based active contour model in a variational level set formulation based on the piecewise constant model and multiple kernels mapping is proposed where a linear combination of multiple kernels is utilized to implicitly map the original local image data into data of a higher dimension. We evaluate the performance of the proposed method using a large number of fluorescence microscopy images. A quantitative comparison is also performed with some state-of-the-art segmentation approaches.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.publisher.placeUnited States
dc.relation.ispartofconferencenameInternational Conference on Digital Image Computing: Techniques and Applications
dc.relation.ispartofconferencetitle2015 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)
dc.relation.ispartofdatefrom2015-11-23
dc.relation.ispartofdateto2015-11-25
dc.relation.ispartoflocationAdelaide, AUSTRALIA
dc.relation.ispartofpagefrom44
dc.relation.ispartofpageto48
dc.subject.fieldofresearchPattern Recognition and Data Mining
dc.subject.fieldofresearchcode080109
dc.titleA Multi-Kernel Local Level Set Image Segmentation Algorithm for Fluorescence Microscopy Images
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung
gro.griffith.authorGharipour, Amin


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    Contains papers delivered by Griffith authors at national and international conferences.

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