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首页> 外文期刊>Food science and technology research >Detecting Surface Cracks on Dates Using Color Imaging Technique
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Detecting Surface Cracks on Dates Using Color Imaging Technique

机译：使用彩色成像技术检测日期上的表面裂纹

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摘要

Surface or external qualities of fresh and dried fruits are the important factors in determining the consumer acceptability. An automated and objective method to detect the surface defects on fruits would be highly beneficial in handling and processing facilities. The objective of this study was to determine the efficiency of a computer vision system with RGB color camera to detect the surface cracks on dates. Three grades of dates (no-crack dates, low-crack dates and high-crack dates) were obtained from two commercial dates processing factories in Oman. After the confirmation of grade standards by a dates-quality-expert, the samples were imaged individually using a color camera (105 dates in each grade). Eleven features were extracted from each image and used in classification models. Red, hue and value intensities of three grades of dates were significantly different from each other. In a three classes model, the classification accuracy was 62%, 58% and 78% for high-crack, low-crack and no-crack dates, respectively using linear discriminant analysis (LDA). LDA yielded a classification accuracy of 88% and 75% for the dates with-crack and without-crack, respectively in a two classes model. In pairwise discrimination, the highest classification (96%) was achieved between high-crack and no-crack dates, and the lowest accuracy (59%) was between low-crack and high-crack dates.
机译：新鲜和干果的表面或外部品质是确定消费者可接受性的重要因素。一种自动客观的检测水果表面缺陷的方法在处理和加工设施中将非常有益。这项研究的目的是确定具有RGB彩色摄像头的计算机视觉系统检测日期表面裂纹的效率。从阿曼的两家商业日期加工工厂获得了三种等级的日期（无裂纹日期，低裂纹日期和高裂纹日期）。在由日期质量专家确认等级标准后，使用彩色相机分别对样品成像（每个等级中有105个日期）。从每个图像中提取了11个特征，并用于分类模型。三种等级的日期的红色，色调和值强度显着不同。在三类模型中，使用线性判别分析（LDA）对高裂纹，低裂纹和无裂纹日期的分类准确度分别为62％，58％和78％。在两个类别的模型中，LDA对有裂纹和无裂纹日期的分类精度分别为88％和75％。在成对判别中，高裂纹日期和无裂纹日期之间的分类最高（96％），而低裂纹日期和高裂纹日期之间的准确度最低（59％）。

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  • 来源
    《Food science and technology research》 |2013年第5期|795-804|共10页
  • 作者

    S. Al-Rahbi; A. Manickavasagan; R. Al-Yahyai; L. Khriji; P. Alahakoon;

  • 作者单位

    Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, PO 34, Al-Khoud, PC 123 Sultanate of Oman;

    Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, PO 34, Al-Khoud, PC 123 Sultanate of Oman;

    Department of Crop Sciences, Sultan Qaboos University, PO 34, Al-Khoud, PC 123 Sultanate of Oman;

    Department Electrical and Computer Engineering, Sultan Qaboos University, PO 34, Al-Khoud, PC 123 Sultanate of Oman;

    Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, PO 34, Al-Khoud, PC 123 Sultanate of Oman;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image processing; dates; surface crack; color imaging;

    机译：图像处理;日期;表面裂纹彩色成像;

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