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|Title:||Semi-automated detection and measurement of glomerular basement membrane from electron micrographs|
|Authors:||Ong, S.H. |
Sinniah, Jayasooriah R.
|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|
|Appears in Collections:||Staff Publications|
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