Share Email Print
cover

Proceedings Paper

Early detection of bruises on apples using near-infrared hyperspectral image
Author(s): Wenqian Huang; Baihai Zhang; Jiangbo Li; Chi Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

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 1000 to 2500nm 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 images were compared. Three effective wavelengths 1060, 1329 and 1949nm were determined using the weighing coefficients plot of the best principal component (PC) image. A bruise detection algorithm based on PCA on the three effective wavelengths and a global threshold method was developed. Independent validation set of 50 intact and 50 bruised apples was used to evaluate the performance of the developed algorithm. Results show that 100% of the intact apples are correctly classified, 94% of the bruised apples are correctly recognized and the overall detection accuracy is 97%.

Paper Details

Date Published: 4 March 2013
PDF: 7 pages
Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 87610P (4 March 2013); doi: 10.1117/12.2019630
Show Author Affiliations
Wenqian Huang, Beijing Institute of Technology (China)
National Engineering Ctr. of Intelligent Equipment for Agriculture (China)
Baihai Zhang, Beijing Institute of Technology (China)
Jiangbo Li, National Engineering Ctr. of Intelligent Equipment for Agriculture (China)
Chi Zhang, National Engineering Ctr. of Intelligent Equipment for Agriculture (China)


Published in SPIE Proceedings Vol. 8761:
PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering
Honghua Tan, Editor(s)

© SPIE. Terms of Use
Back to Top