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Automatic identification method of ironmaking raw materials based on computer vision
Authors
付双飞
吴清潇
+7 more
周静
朱枫
欧锦军
贝文诚
郑建忠
郝颖明
陈奕璇
Publication date
23 June 2010
Publisher
Abstract
本发明涉及一种基于计算机视觉的炼铁原料自动识别方法,包括以下步骤:采集各炼铁原料及原料运送装置空载时的彩色图像,根据彩色图像的样本建立特征库;在各炼铁原料及原料运送装置的彩色图像中进行特征提取,得到各彩色图像的特征值;将上述提取的彩色图像特征值与特征库进行匹配,确定当前原料的种类。本发明方法综合利用颜色特征和频谱特征与预先离线建立的特征样本库进行在线匹配以实现物料图像的分类和识别,对物料的识别准确无误,提高了工作效率,对后续准确分别计量物料提供了先决条件,具有非接触、柔性强、自动化程度高等优点
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Shenyang Institute of Automation,Chinese Academy Of Sciences
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Last time updated on 12/02/2018