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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/72645
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dc.titleFractal characterization of kidney tissue sections
dc.contributor.authorJin, X.C.
dc.contributor.authorOng, S.H.
dc.date.accessioned2014-06-19T05:10:23Z
dc.date.available2014-06-19T05:10:23Z
dc.date.issued1994
dc.identifier.citationJin, X.C.,Ong, S.H. (1994). Fractal characterization of kidney tissue sections. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings 16 (pt 2) : 1136-1137. ScholarBank@NUS Repository.
dc.identifier.issn05891019
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72645
dc.description.abstractThis paper describes the selection of a practical method for estimating fractal dimensions of textured images. The methods due to Sarkar and Chaudhuri [2], Peleg et al. [3], and Jin et al. [7] are compared in terms of accuracy and efficiency. Experiments show that the method due to Jin et al. [7] with its scale limit criterion performs best. It is then used to characterize the severity of damage in kidney tissue sections.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
dc.description.volume16
dc.description.issuept 2
dc.description.page1136-1137
dc.description.codenCEMBA
dc.identifier.isiutNOT_IN_WOS
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