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Proceedings Paper

Development of a multi-spectral imaging system for the detection of bruises on apples
Author(s): Wenqian Huang; Chunjiang Zhao; Qingyan Wang; Jiangbo Li; Chi Zhang
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Paper Abstract

Early detection of bruises on apples is important for an automatic apple sorting system. A hyperspectral imaging system with the wavelength range of 400 to 1000nm was built for detecting bruises happened in an hour on ‘Fuji’ apples. Principal components analysis (PCA) was conducted on the hyperspecrtral images and the principal components (PC) images were compared. Three effective wavelengths 780, 850 and 960nm were determined using the weighing coefficients plot of the best PC image. Then, a multi-spectral imaging system with three bands 780, 850 and 960nm in the near-infrared range was developed. The system was consisted of two beamsplitters at 805 and 900nm, two bandpass filters and halogen tungsten lamp, and three CCD cameras. Images of 20 intact and 20 bruised apples were acquired. PCA was conducted on the three-band images of each apple and the best PC image was selected for bruise detection. A bruise detection algorithm based on the PC images and a global threshold method was developed. Results show that 90% of the bruised apples are correctly recognized.

Paper Details

Date Published: 29 May 2013
PDF: 8 pages
Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 872105 (29 May 2013); doi: 10.1117/12.2015579
Show Author Affiliations
Wenqian Huang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Chunjiang Zhao, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Qingyan Wang, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Jiangbo Li, National Engineering Research Ctr. for Information Technology in Agriculture (China)
Chi Zhang, National Engineering Research Ctr. for Information Technology in Agriculture (China)


Published in SPIE Proceedings Vol. 8721:
Sensing for Agriculture and Food Quality and Safety V
Moon S. Kim; Shu-I Tu; Kuanglin Chao, Editor(s)

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