白光二极管相关色温对萨拉芒果品质评价图像分析的影响

Q3 Chemistry

Journal of Spectral Imaging Pub Date : 2018-10-06 DOI:10.1255/JSI.2018.A11

W. Chiong, A. Omar, M. MatJafri

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引用次数: 2

摘要

颜色分析是评估水果质量的常用技术之一，特别是对于根据成熟和成熟阶段自然改变果皮颜色的水果类型。通过RGB分析成像是一种常用的水果颜色分析方法。人类或机器视觉观察到的颜色高度依赖于环境照明，无论是其强度还是白色照明源的色调。因此，本研究的目的是提供一些关于发光二极管相关色温对转换Sala芒果图像感知到的颜色的影响以及RGB算法在预测水果pH和可溶性固体含量方面的影响的简要实验结果。

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White light emitting diode correlated colour temperature influence on image analysis in Sala mango quality assessment

Colour analysis is one of the common techniques used in assessing fruits quality, especially for types of fruit that have a natural transformation in peel colour according to the stage of maturity and ripening. Imaging through RGB analysis is a popular method employed in colour analysis of fruit. Colour observed by human or machine vision is highly depended on ambient lighting, whether in its intensity or the hue of the white illumination source. Hence, the objective of this research is to provide some brief experimental findings on the influence of light emitting diode correlated colour temperature in transforming the colour perceived from the image of Sala mango and the RGB algorithm in predicting the fruits’ pH and soluble solid content.

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来源期刊

Journal of Spectral Imaging Chemistry-Analytical Chemistry

CiteScore

3.90

自引率

0.00%

发文量

审稿时长

22 weeks

期刊介绍： JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.