Journal Article

Vis/NIR hyperspectral imaging for detection of hidden bruises on kiwifruits

Tang, M.J., Jiangsu Univ., Zhenjiang (China). School of Food and Biological Engineering, Zhao, J.W., Jiangsu Univ., Zhenjiang (China). School of Food and Biological Engineering, Vittayapadung, S., Chiang Mai Univ. (Thailand). Dept. of Mechanical Engineering, Lue, Q., Jiangsu Univ., Zhenjiang (China). School of Food and Biological Engineering, Cai, J.R., Jiangsu Univ., Zhenjiang (China). School of Food and Biological Engineering

2011

Overview

It is necessary to develop a non-destructive technique for kiwifruit quality analysis because the machine injury could lower the quality of fruit and incur economic losses. Bruises are not visible externally owing to the special physical properties of kiwifruit peel. We proposed the hyperspectral imaging technique to inspect the hidden bruises on kiwifruit. The Vis/NIR (408-1,117 nm) hyperspectral image data was collected. Multiple optimal wavelength (682, 723, 744, 810, and 852 nm) images were obtained using principal component analysis on the high dimension spectral image data (wavelength range from 600 nm to 900 nm). The bruise regions were extracted from the component images of the five waveband images using RBF-SVM classification. The experimental results showed that the error of hidden bruises detection on fruits by means of hyperspectral imaging was 12.5%. It was concluded that the multiple optimal waveband images could be used to constructs a multispectral detection system for hidden bruises on kiwifruits.

• Publisher: Czech Academy of Agricultural Sciences (CAAS),Czech Academy of Agricultural Sciences
• Subject: Actinidia / ACTINIDIA DELICIOSA / ACTINIDIE / ANALISIS DE IMAGENES / ANALYSE D'IMAGE / CALIDAD / Contusions / DANOS MECANICOS / DEGAT MECANIQUE / Economic impact / Error detection / Fruits / HANDLING / http://www.fao.org/aos/agrovoc#c_12002 / http://www.fao.org/aos/agrovoc#c_16138 / http://www.fao.org/aos/agrovoc#c_27109 / http://www.fao.org/aos/agrovoc#c_3485 / http://www.fao.org/aos/agrovoc#c_36760 / http://www.fao.org/aos/agrovoc#c_36762 / http://www.fao.org/aos/agrovoc#c_37359 / http://www.fao.org/aos/agrovoc#c_4683 / http://www.fao.org/aos/agrovoc#c_6133 / http://www.fao.org/aos/agrovoc#c_6400 / http://www.fao.org/aos/agrovoc#c_7377 / Hyperspectral imaging / IMAGE ANALYSIS / Image classification / IMAGE PROCESSING / IMAGENES / IMAGERIE / IMAGERY / Imaging techniques / Injury analysis / KIWI (FRUTA) / Kiwifruit / KIWIFRUITS / MANIPULACION / MANUTENTION / MECHANICAL DAMAGE / MECHANICAL PROPERTIES / METHODE STATISTIQUE / METODOS ESTADISTICOS / Nondestructive testing / Physical properties / POSTHARVEST TECHNOLOGY / principal component analysis / Principal components analysis / PROPIEDADES MECANICAS / PROPRIETE MECANIQUE / QUALITE / QUALITY / STATISTICAL METHODS / support vector machine / Support vector machines / TECHNOLOGIE APRES RECOLTE / TECNOLOGIA POSTCOSECHA / TRAITEMENT D'IMAGES / TRATAMIENTO DE IMAGENES / Wavelength