Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image

Jing Li; Long Xue; Mu Hua Liu; Xiao Wang; Chun Sheng Luo

doi:10.4028/www.scientific.net/AMR.320.569

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 320Detection of Defect on Navel Orange Using...

Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image

Abstract:

A hyperspectral imaging system for detecting defect on navel orange was demonstrated. The hyperspectral imaging system, which was a line-scan imaging system, consisted of a hyperspectral camera, a halogen lighting unit, a computer and a translation stage. The imaging system operated from 400 to 1000nm. Principal component analysis (PCA) was performed using the hyperspectral images data (from 500 to 700nm); 2nd principal component (PC) image exhibited differential responses between normal and defect spots on the surface of navel orange. The combined use of the PC-2 images demonstrated the detection of defect spots with minimal false positives. Based on the PC-2 weighing coefficients, the dominant wavelengths were 528,529,530,673,674 and 675nm. This research demonstrated the potential of multispectral image for online applications for detection of defect on navel oranges.

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Periodical:

Advanced Materials Research (Volume 320)

Pages:

569-573

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.320.569

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Online since:

August 2011

Authors:

Jing Li, Long Xue, Mu Hua Liu, Xiao Wang, Chun Sheng Luo

Keywords:

Defect Detection, Hyperspectral Reflectance Image, Navel Orange, Principal Component Analysis (PCA)

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