Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image

Abstract:

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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.

Info:

Periodical:

Edited by:

Jun Hu and Qi Luo

Pages:

569-573

DOI:

10.4028/www.scientific.net/AMR.320.569

Citation:

J. Li et al., "Detection of Defect on Navel Orange Using Hyperspectral Reflectance Image", Advanced Materials Research, Vol. 320, pp. 569-573, 2011

Online since:

August 2011

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Price:

$35.00

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