DocumentCode :
3639149
Title :
Classification of aflatoxin contaminated chili pepper using hyperspectral imaging and artificial neural networks
Author :
Musa Ataş;Alptekin Temizel;Yasemin Yardımcı
Author_Institution :
Enformatik Enstitü
fYear :
2010
Firstpage :
9
Lastpage :
12
Abstract :
Many foods (such as hazelnut, pistachio nut, almond, corn, wheat, dried fig, and chili pepper) may include carcinogenic aflatoxins that threatens human health. Chili pepper is also prone to aflatoxin contamination during harvesting, production and storage periods. Although Turkey is the third largest chili pepper producer in the world, it has less than three percent international market share due to the high level of aflatoxin contamination in the chili pepper. Various chemical methods are used for detection of aflatoxin. Chemical methods used for detection of aflatoxin contamination give accurate results, but they are slow, expensive and destructive. In this study, intensity histograms of hyper spectral images of chili peppers are extracted under halogen illumination source and aflatoxin detection is made by artificial neural networks.
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
ISSN :
2165-0608
Print_ISBN :
978-1-4244-9672-3
Type :
conf
DOI :
10.1109/SIU.2010.5650935
Filename :
5650935
Link To Document :
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