借助 X 射线成像和图像处理确定封闭包装中的食品数量

IF 2.6 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Ahmet Görgülü, Mehmet Ünlü
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引用次数: 0

摘要

在这项研究中,使用 "X 射线成像 "和 "图像处理 "技术对封闭(密封)包装和散装包装中的产品数量进行了测定。开发了一个自定义图像处理程序,用于分析以 784 × 1024 像素分辨率拍摄的 X 射线图像。该程序为图像中的每个像素分配从绝对白色到绝对黑色的数值,数值范围为 0-255。通过用一组产品的总灰度值除以单件产品的平均灰度值,计算出每个包装内属于不同组别的产品数量。为了尽量减少波动,我们采用了移动平均灰度值。灰度值代表图像中像素的整体强度或暗度。经测试,多头秤在确定封闭包装中产品数量时的误差率为 4%,产品计数系统的误差率为 1.25%,而开发的 X 射线成像方法的误差率为 0.25%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Determination of the Number of Food Products in Closed Packages with the Help of X-ray Imaging and Image Processing

Determination of the Number of Food Products in Closed Packages with the Help of X-ray Imaging and Image Processing

Determination of the Number of Food Products in Closed Packages with the Help of X-ray Imaging and Image Processing

In this research, the determination of the number of products in closed (sealed) and bulk-type packages has been investigated using “X-ray imaging” and “image processing” techniques. A custom image processing program was developed to analyze X-ray images captured at a resolution of 784 × 1024 pixels. The program assigns numerical values ranging from absolute white to absolute black to each pixel in the image on a scale of 0–255. The number of products that belong to separate groups within each package was calculated by dividing the total grayness value of the group by the average grayness value of a single unit of the product. To minimize fluctuations, we employed moving average grayness values. The grayness values represent the overall intensity or darkness of the pixels in the image. The error rate of the multi-head weighers tested in determining the number of products in closed packages was determined to be 4%, the error rate of the product counting systems was 1.25%, and the error rate of the developed X-ray imaging method was 0.25%.

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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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