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Food Qual Safet
Research Articles     
图像处理分析跟踪苹果颜色变化及其干燥阶段水分含量相关性
Image processing analysis to track colour changes on apple and correlate to moisture content in drying stages
Ganesh C Bora; Rohit Pathak; Mojtaba Ahmadi; Purbasha Mistry
Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi, USA
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摘要:

颜色和水分含量是食品比较重要的两大属性。水分含量测定可以预测食品货架期,并且同果蔬干燥过程具有相关性。干燥和脱水会降低食品品质。本实验目的是在不同温度的干燥条件下测定苹果的RGB值变化,重点是研究苹果颜色是如何随着水分含量变化而改变。将随机选取的不同品种苹果切成8 mm厚的切片,分别在60°C、70°C和 80°C下进行真空干燥。每隔30min记录水分损失,并利用图像处理分析RGB值改变。通过MATLAB软件进行数据分析,发现在以上三个温度梯度下水分含量和颜色值与时间呈现出的关系是随着时间推移苹果颜色下降,超过50%的水分含量变化可以被颜色值变化阐释。水分含量和颜色变化之间具有显著线性相关性,其可用于苹果干燥过程中水分含量预测。

关键词: 图像处理颜色水分含量苹果干燥温度    
Abstract:

Colour and moisture content are two most important attributes of the commercial food product. Estimation of moisture content is very important to know the storability of the food product. It also relates to the process of drying in a fruit or vegetable. Extra drying and shrinkage deteriorates the quality of food product. The goal of the experiment was to examine the changes in RGB values of an apple during drying at different temperatures. In this study, emphasis was given on how the colour changes when there is a significant change in the moisture content of the apple. Three randomly chosen varieties of apples were sliced to 8 mm thickness and dried in vacuum oven at 60°C, 70°C, and 80°C. The loss of moisture was recorded for every 30 min interval and corresponding digital images were taken to determine the change in RGB value. The images that were captured during the study was analysed in MATLAB image analysis computer software. The analysis of moisture content and average colour share with respect to time showed that average colour share value decreases with time at all three temperatures. More than 50 per cent of variation in moisture content was explained by average colour share. There is a significant linear relationship between moisture content and colour changes in RGB and can be used to predict the moisture content of apple during drying process.

Key words: image processing    colour    moisture content    apple drying    temperature
出版日期: 2018-06-01
通讯作者: Ganesh C. Bora, Associate Professor, Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS 39762, USA. E-mail: gcbora@abe.msstate.edu     E-mail: gcbora@abe.msstate.edu
作者简介: Ganesh C. Bora, Associate Professor, Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS 39762, USA. E-mail: gcbora@abe.msstate.edu
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Ganesh C Bora
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引用本文:

Ganesh C Bora, Rohit Pathak, Mojtaba Ahmadi, Purbasha Mistry. Image processing analysis to track colour changes on apple and correlate to moisture content in drying stages. Food Qual Safet, 10.1093/fqsafe/fyy003.

链接本文:

http://www.zjujournals.com/fqs/CN/10.1093/fqsafe/fyy003        http://www.zjujournals.com/fqs/CN/Y2018/V2/I2/105

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