Study on quality estimation for strawberry using color and NIR image processing

被引：0

作者：

Nagata, M ^{[1
]}

Shrestha, BP ^{[1
]}

Gejima, Y ^{[1
]}

机构：

[1] Miyazaki Univ, Fac Agr, Miyazaki 8892192, Japan

来源：

CONTROL APPLICATIONS IN POST-HARVEST AND PROCESSING TECHNOLOGY 2001 | 2002年

关键词：

image processing; color; spectral characteristics; infrared; filter; quality;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study was carried out to detect bruises on the surface of strawberry using color and NIR image processing. The bruises in this study were caused in controlled manner on the freshly harvested fruits. Firstly, the bruises were detected by analyzing L*a*b* color model. The a* level has indicated their characteristics. Secondly, the particular wavelengths critical for bruise detection were determined and spectral images were acquired with suitable filters of 860 and 960nm. Two methods of image subtractions, one between the same samples and next between the test and standard image, has confirmed the possibilities of bruise detection by using NIR image processing for online sorting. Copyright (C) 2001 IFAC.

引用

页码：231 / 235

页数：5

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