Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72911
Title: Semi-automated detection and measurement of glomerular basement membrane from electron micrographs
Authors: Ong, S.H. 
Giam, S.T.
Sinniah, Jayasooriah R.
Issue Date: 1991
Source: Ong, S.H.,Giam, S.T.,Sinniah, Jayasooriah R. (1991). Semi-automated detection and measurement of glomerular basement membrane from electron micrographs. Proceedings of SPIE - The International Society for Optical Engineering 1445 : 564-573. ScholarBank@NUS Repository.
Abstract: The accurate measurement of kidney glomerular basement membrane (GBM) width from transmission electron micrographs provides vital infromation in the diagnosis of some kidney diseases. A novel and effective algorithm has been developed for the semi-automatic detection of the GBM by image analysis techniques. The method makes use of the gradual variation of the local features that are characteristic of the membrane. Starting from a seed point specified by the user, local features within a small window are computed to give a feature score. Feature scores for adjacent neighbourhoods are also determined, and windows that satisfy a similarity criterion are linked to produce the centerline of the membrane. A region-growing process completes the segmentation procedure.
Source Title: Proceedings of SPIE - The International Society for Optical Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/72911
ISSN: 0277786X
Appears in Collections:Staff Publications

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