Paper
12 May 1993 Near-IR and color imaging for bruise detection on Golden Delicious apples
James A. Throop, Daniel J. Aneshansley, Bruce L. Upchurch
Author Affiliations +
Proceedings Volume 1836, Optics in Agriculture and Forestry; (1993) https://doi.org/10.1117/12.144042
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
Abstract
Digital images of reflected light in both the near-infrared (NIR) and visible wavelengths from the surface of bruised and unbruised Golden Delicious apples were captured for classifying bruise damage. Each of the attributes of two models for color representation, RGB and HSI, were compared to NIR for their ability to discriminate bruised from unbruised tissue. The surface reflectance for good tissue decreased from the fruit center outward, except saturation which increased. Reflectance of good tissue also varied adjacent to the bruised area compared to a location 60 degrees away. NIR, green, hue, and red were the features which showed the most contrast between bruised and undamaged tissue. This contrast did not decrease for green, red, and hue as storage time increased.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James A. Throop, Daniel J. Aneshansley, and Bruce L. Upchurch "Near-IR and color imaging for bruise detection on Golden Delicious apples", Proc. SPIE 1836, Optics in Agriculture and Forestry, (12 May 1993); https://doi.org/10.1117/12.144042
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Cited by 7 scholarly publications.
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KEYWORDS
Tissues

Reflectivity

Near infrared

Natural surfaces

Image processing

RGB color model

Agriculture

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