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球粉板表面缺陷在線(xiàn)檢測
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(合肥工業(yè)大學(xué) 儀器科學(xué)與光電工程學(xué)院,合肥 230009)[HJ1.31mm]

作者簡(jiǎn)介:

吳方貴(1989-),男,安徽池州人,碩士研究生,主要從事圖像處理方向的研究。 [FQ)]

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Online Detection of Surface Flaws on Spherical Powder Plate
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(Hefei University of Technology, Hefei 230009, China)

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    摘要:

    為快速準確檢測球粉板表面缺陷,對球粉板表面光學(xué)特性不一致性和缺陷類(lèi)型的多樣性等關(guān)鍵問(wèn)題進(jìn)行了分析,以利于有效地解決關(guān)鍵問(wèn)題;論文提出采用基于模板圖片創(chuàng )建矯正模板來(lái)解決被測板材表面光學(xué)特性變動(dòng)的均化問(wèn)題、自適應萃取二值化閾值解決二值化閾值整定問(wèn)題,以提高軟件的執行魯棒性;通過(guò)自定義算法實(shí)現了細線(xiàn)型缺陷修補,有效地提高了劃痕類(lèi)缺陷檢測的精度和可靠性;提出了篩查模型實(shí)現了符合缺陷檢測精度要求的噪點(diǎn)篩除;通過(guò)大量現場(chǎng)實(shí)驗驗證了本系統能夠正確高效實(shí)現球粉板表面缺陷檢測定位標識和面積測量功能,以及達到了目標檢測精度;本系統能很好地勝任球粉板在線(xiàn)表面缺陷檢測;實(shí)驗證明檢測系統非常高效精準,極大地提高了生產(chǎn)線(xiàn)自動(dòng)化能力。

    Abstract:

    In order to detect the surface flaws of the spherical powder plate quickly and accurately, the paper analyzes the key problems, such as the diversity of flaws and the optical inconsistency for different types, and the corresponding solutions are proposed. A correction template is created based on a template image which is collected from the flawless surface to realize the optical homogenization of the detected surface. The binary threshold is extracted automatically according to the template image of different type plate to improve the robustness of the software execution. A custom algorithm, which can effectively improve the precision and reliability of detecting the scratch type flaw, is used to compensate the loss of the fine line flaws in screening the flaws. In addition, screening model is established to remove the noise coming from the spherical powder according to the accuracy requirements. A lots of experiments show that the system can accurately and efficiently detect flaws on the spherical powder plate surface and achieve the identification, the location and the area measurement of the surface flaws in the production line, and meet the target accuracy. The system can be well qualified for online detection the flaws in surface of the spherical powder plate. Experimental results show that the detection system is very efficient and accurate, which greatly improves the automation of production line.

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引用本文

吳方貴,劉文文,陶婷婷,曾昊.球粉板表面缺陷在線(xiàn)檢測計算機測量與控制[J].,2017,25(3):29-32.

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歷史
  • 收稿日期:2016-09-18
  • 最后修改日期:2016-11-03
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  • 在線(xiàn)發(fā)布日期: 2017-05-31
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