6 January 1995 Computer-based neuro-vision system for color classification of french fries
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Proceedings Volume 2345, Optics in Agriculture, Forestry, and Biological Processing; (1995); doi: 10.1117/12.198875
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States
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%.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Suranjan Panigrahi, Dennis Wiesenborn, "Computer-based neuro-vision system for color classification of french fries", Proc. SPIE 2345, Optics in Agriculture, Forestry, and Biological Processing, (6 January 1995); doi: 10.1117/12.198875; http://dx.doi.org/10.1117/12.198875
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KEYWORDS
Computing systems

Neural networks

Light sources and illumination

Computer vision technology

Machine vision

Cameras

Light sources

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