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熱軋帶鋼在線測寬中的圖像分割

Image Segmentation in On-line Width Measurement of Hot Strip

  • 摘要: 對帶鋼質量檢測中圖像處理和分析的過程進行了論述.結合熱軋帶鋼現場圖像,應用最終測量精度準則對圖像處理算法進行評價.實驗評價結果表明,動態雙閾值的圖像分割效果最佳,適合應用于帶寬實時在線檢測.

     

    Abstract: Some algorithms about image processing and analysis in strip quality inspection were discussed. With plenty of strip images being captured from a hot-rolled steel strip line, evaluation and comparison to these algorithms were done with the rule of UMA (Ultimate Measurement Accuracy), which showed that the dynamic threshold image segmentation was the best and could be applied to the on-line width measurement of hot strip.

     

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