Development of a multi-spectral imaging system for the detection of bruises on apples

Wenqian Huang; Chunjiang Zhao; Qingyan Wang; Jiangbo Li; Chi Zhang

doi:10.1117/12.2015579

29 May 2013 Development of a multi-spectral imaging system for the detection of bruises on apples

Wenqian Huang, Chunjiang Zhao, Qingyan Wang, Jiangbo Li, Chi Zhang

Proceedings Volume 8721, Sensing for Agriculture and Food Quality and Safety V; 872105 (2013) https://doi.org/10.1117/12.2015579
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Wenqian Huang, Chunjiang Zhao, Qingyan Wang, Jiangbo Li, and Chi Zhang "Development of a multi-spectral imaging system for the detection of bruises on apples", Proc. SPIE 8721, Sensing for Agriculture and Food Quality and Safety V, 872105 (29 May 2013); https://doi.org/10.1117/12.2015579

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