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An adaptive pattern recognition and detection technique for target image of continuous casting with length cutting

机译:具有长度切割连铸图像的自适应模式识别与检测技术

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In production process of steel making and continuous casting, on-line length measurement and fixed length of continuous casting slab are very important. Starting from increasing the yield of length cutting for continuous casting products, on the base of cutting measurement about non-contact automatic cutting length. Such problems were introduced as abrasion and slippage, which existed in measure-roller of continuous casting slab length control, and a technology of digital image adaptive pattern recognition for target image was given to realize segmentation and recognition in image region of continuous casting slab and complex field interference, this paper presents preconditioning technique of image noise for billet production field. Image processing for complex production environment which provides reference for length-fixing cutting about plate and heavy rail production in practice.
机译:在钢制造和连续铸造的生产过程中,连续铸造板的在线长度测量和固定长度非常重要。从增加连铸产品的长度切割产量开始,在切割测量的基础上关于非接触式自动切削长度。这种问题被引入作为磨损和滑动的滑动,其在连续铸造板长控制的测量辊中存在,并且给出了用于目标图像的数字图像自适应模式识别技术,以实现连续铸造板和复合物的图像区域中的分割和识别现场干扰,本文介绍了坯料生产现场图像噪声的预处​​理技术。复杂生产环境的图像处理,可参考板材和重型铁路生产的长度固定切割。

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