使用机器视觉的食品计算机辅助检测系统。综述

S. Janardhana, J. Jaya, K. J. Sabareesaan, Jaina George
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引用次数: 13

摘要

本文的目的是重点介绍计算机辅助检测(CAI)系统在食品缺陷检测中的应用。由于食品是人类直接消费(加工/未加工)的产品,食品中存在的缺陷对健康造成了严重的危害。因此,必须建立一套有利于食品质量和安全标准的检验体系。CAI系统为实现准确、快速、客观的质量检测提供了一种自动化、非破坏性和低成本的技术。本CAI系统是基于图像分析与处理的CAI系统,可应用于食品行业。CAI系统的各个阶段包括预处理、增强、分割、特征提取和分类。大量的研究证明了它在水果、肉类、蔬菜、谷物、烘焙产品、忏悔产品和加工食品的检测和分级方面的潜力。本文综述了CAI在食品工业中的最新发展和进展。检查了系统和技术的基本要素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computer aided inspection system for food products using machine vision — A review
The aim of this review paper is to emphasis Computer Aided Inspection (CAI) system for the detection of defects in food products. As the food products are being consumed directly (processed / Unprocessed) by human beings, defects in food products cause serious health hazards which insists to develop an inspection system which facilitates for food products of high quality and safety standards. CAI system provides an alternative for an automated, non-destructive and cost effective technique to accomplish accurate, fast and objective quality determination. This CAI system is based on image Analysis and processing which can be adopted in food industry. The various stages of CAI system consists of preprocessing, enhancement, segmentation, feature extraction and classification. Considerable research as proven its potential for inspection and grading of fruits, meat, vegetables, grain, bakery products, confessionary products and processed food products. This paper reviews the recent development and advances of CAI in the food industry. The fundamental elements of the system and technology are examined.
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