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Proceedings Paper

Computer-based neuro-vision system for color classification of french fries
Author(s): Suranjan Panigrahi; Dennis Wiesenborn
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Paper Abstract

French fries are one of the frozen foods with rising demands in domestic and international markets. Color is one of the critical attributes for quality evaluation of french fries. This study discusses the development of a color computer vision system and the integration of neural network technology for objective color evaluation and classification of french fries. The classification accuracy of a prototype back-propagation network developed for this purpose was found to be 96%.

Paper Details

Date Published: 6 January 1995
PDF: 14 pages
Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); doi: 10.1117/12.198875
Show Author Affiliations
Suranjan Panigrahi, North Dakota State Univ. (United States)
Dennis Wiesenborn, North Dakota State Univ. (United States)


Published in SPIE Proceedings Vol. 2345:
Optics in Agriculture, Forestry, and Biological Processing
George E. Meyer; James A. DeShazer, Editor(s)

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