SPEL: Development af a New Spectral Signature Library for Food Products

Date

2014-09-09

Author

Ömrüuzun, Fatih
Özdemir, Okan Bilge
Çetin, Yasemin

Metadata

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Hyperspectral Imaging (HSI) has become a widely used nondestructive inspection method in Food Quality Assessment (FQA). In FQA studies, HSI is used to measure light reectance characteristics (spectra) of food products at different wavelengths. Obtained spectral characteristics of food products reveal detailed information such as freshness, suitability for consumption, potential diseases etc. In this study, development phases and features of METU - Spectral Signature Library of Food Products (METU SPEL) database based on U.S. Department of Agriculture - USDA National Nutrient Database for Standard Reference, Release 26 is described. The main objective of METU SPEL is to build a library that contains spectral characteristics of food products to assist researchers working on FQA with HSI.

Subject Keywords

Food quality assessment, Hyperspectral image processing, Spectral library

URI

https://hdl.handle.net/11511/79933
https://www.scopus.com/record/display.uri?eid=2-s2.0-84928041636&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=70f6aecbc4029fdd0db96c92c865e11a&sot=b&sdt=b&sl=87&s=TITLE-ABS-KEY+%28SPEL%3a+Development+af+a+New+Spectral+Signature+Library+for+Food+Products%29&relpos=0&citeCnt=0&searchTerm=

Conference Name

9th International Conference on Advances in Mass Data Analysis of Images and Signals in Medicine, Biotechnology,

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

F. Ömrüuzun, O. B. Özdemir, and Y. Çetin, “SPEL: Development af a New Spectral Signature Library for Food Products,” Petersburg; Russian Federation, 2014, p. 15, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/79933.