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Publisert 2003

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Publikasjonsdetaljer

Tidsskrift : Scanning , vol. 25 , p. 109–115 , 2003

Utgiver : John Wiley & Sons

Internasjonale standardnummer :
Trykt : 0161-0457
Elektronisk : 1932-8745

Publikasjonstype : Vitenskapelig artikkel

Bidragsytere : Kohler, Achim; Høst, Vibeke; Enersen, Grethe; Ofstad, Ragni

Har du spørsmål om noe vedrørende publikasjonen, kan du kontakte Nofimas bibliotekleder.

Kjetil Aune
Bibliotekleder
kjetil.aune@nofima.no

Sammendrag

A color-based segmentation scheme applied to microscopy images of cryosectioned sausages is proposed. The segmentation scheme is capable of segmenting three different levels on the microscopy images: the fat particles, the protein matrix, and water/starch. The method is based on principal component analysis. A user-friendly program was developed for the manual segmentation of a selection of image pixels by microscopists. Principal component models based on the manually classified pixels are then used to segment fat, protein matrix, and starch/water on microscopy images. The program can also be used as a training tool for microscopists.

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