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本文提出了一种基于计算机视觉的烧结矿ＦｅＯ含量的在线检测方法，该方法的主要思想是用ＣＣＤ摄象机对烧结机尾断面图象进行实时采集，再利用图象处理技术进行实时分析和识别，得出烧结矿的ＦｅＯ含量。试验结果表明。计算机视觉识别与烧结看火工的经验的结果相比，Ｆｅｏ含量符合率达到９８．４０％。利用本文介绍的方法，不但可以检测烧结矿ＦｅＯ的含量，而且还可以检测混合料水分的大小、布料的均匀度、过烧及欠烧。
In this paper, an on-line detection method for FeO content of sinter based on computer vision is proposed. The main idea of this method is to acquire the real-time end-section images of sinter tailings with CCD camera and real-time analysis using image processing techniques Identification, come to the sinter FeO content. The results showed that. Compared with the results of the experience of the fireman in the visual recognition of computer vision, the coincidence rate of Feo content reached 98.40%. Using the method described in this article, not only can detect the content of sinter FeO, but also can detect the size of the mixture moisture, fabric uniformity, over-burning and under-burning.