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Alternative TitleAutomatic identification method of ironmaking raw materials based on computer vision
吴清潇; 陈奕璇; 朱枫; 贝文诚; 欧锦军; 郑建忠; 郝颖明; 周静; 付双飞
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention relates to an automatic identification method of ironmaking raw materials based on computer vision, which comprises the following steps: collecting the color images of the ironmaking raw materials and an idle raw material conveyer, and establishing a feature library according to the samples of the color images extracting features in the color images of the ironmaking raw materials and the raw material conveyer to obtain the feature value of each color image matching the extracted feature values of the color images with the feature library and determining the sorts of the current raw materials. The method of the invention comprehensively uses color features and frequency spectrum features to match with the feature sample library on line, wherein the feature sample library is previously established off line, so that the classification and identification of the material images are realized, the identification of the materials is correct and inerrant, the working efficiency is improved, the prerequisite conditions of subsequently counting the materials respectively and accurately are provided, and the method has the advantages of non contact, strong flexibility, high degree of automation, and the like.
PCT Attributes
Application Date2008-12-05
Date Available2012-06-27
Application NumberCN200810229325.1
Open (Notice) NumberCN101751552A
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
吴清潇,陈奕璇,朱枫,等. 一种基于计算机视觉的炼铁原料自动识别方法[P]. 2010-06-23.
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