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基于灰色關(guān)聯(lián)分析和區(qū)域生長的微小缺陷提取
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    摘要:

    提出了一種基于灰色關(guān)聯(lián)分析的區(qū)域生長算法。首先通過計算二維灰色絕對關(guān)聯(lián)度,將原始圖像轉(zhuǎn)換為僅包含高頻信息的灰色關(guān)聯(lián)圖像,并在此基礎(chǔ)上進行閾值處理和區(qū)域標記,獲得缺陷區(qū)域的形心。然后將該形心作為種子像素在灰色關(guān)聯(lián)圖像內(nèi)進行區(qū)域生長,實現(xiàn)微小缺陷的在線提取。實驗結(jié)果表明,新的區(qū)域生長算法能夠有效地抑制背景噪聲、簡化計算過程,滿足在線提取和實時性要求。

    Abstract:

    A region growing algorithm based on the grey relational analysis was proposed. By means of calculating the two-dimension grey absolute relational grade, the original image was turned to a grey relational image only containing the edge information. Meanwhile, by the region marking of the grey relational image, the centers of small defects were obtained. And these centers were used as the seeds pixels to do the region growing and the detect extracting in the grey relational image. The experimental results indicated that the new region growing algorithm could suppress the background noise, simplify the calculating process, and meet the requirements of the real time extracting effectively.

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王中宇,付繼華,孟浩,楊文平.基于灰色關(guān)聯(lián)分析和區(qū)域生長的微小缺陷提取[J].農(nóng)業(yè)機械學報,2008,39(12):166-169.[J]. Transactions of the Chinese Society for Agricultural Machinery,2008,39(12):166-169.

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