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应用视觉技术的液体质量智能检测系统研究
  • 期刊名称：计算机工程与应用
  • 时间：0
  • 页码：26-29+117
  • 语言：中文
  • 分类：TP391.4[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]广东工业大学自动化学院,广州510520
  • 相关基金：国家自然科学基金（No.U0735003 No.60604006）; 教育部博士点基金（20070562005）; 广东省自然科学基金（No.07117423）
  • 相关项目：复杂传感与控制网络系统的建模、控制与优化
作者： 刘焕军|
关键词： 智能检测, 机器视觉, 支持向量机集成, 运动分析, intelligent inspection, machine vision, support vector machines ensemble, motion analysis
中文摘要：

提出了一种基于机器视觉和支持向量机集成的液体质量智能检测系统。该系统采用了专门装置采集瓶内旋转液体的序列图像。对采集到的序列图像进行运动分析,确定图像序列中的运动区域。然后提取运动区域的特征,提出多核函数支持向量机集成方法来确定运动区域是否为液体中的杂质。通过实验证明,该液体质量检测系统的检测准确率可达97%。

英文摘要：

This paper presents a liquid intelligent inspection system based on machine vision and support vector machines ensemble.The inspection system is designed,which can capture image sequences of the rotating liquid in the bottle.The motion regions are identified by motion analysis.And then the features of these motion regions are extracted.The multi-kernel function support vector machine ensemble is used to judge if the motion regions are impurities.The experiments demonstrate the inspection precision of the liquid inspection system is above 97%.

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