马铃薯红外缺陷检测算法研究

2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS) Pub Date : 2018-09-01 DOI:10.1109/ITMQIS.2018.8525033

P. Balabanov, A. Divin, A. P. Savencov, G. Shishkina

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引用次数: 1

摘要

介绍了一种用于马铃薯链式输送机非接触式热质量检测的自动化系统。介绍了马铃薯缺陷实时识别的计算机视觉系统算法。检测缺陷的方法是基于对块茎进行短期加热后确定健康组织和受损组织之间的温度差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Algorithms for Detecting Potato Defects Using Images in the Infrared Range of Spectrum

An automated system for contactless thermal quality testing of potato moving along a chain conveyor is presented. The algorithm of the computer vision system for the recognition of potato defects in real time is described. The method for detecting defects is based on determining the temperature difference between healthy and damaged tissues after short-term heating of the tubers.

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来源期刊

2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT&QM&IS)

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