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    ASIA unversity > 資訊學院 > 資訊工程學系 > 期刊論文 >  Item 310904400/18572

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/18572

    Title: Automatic thresholding for defect detection
    Authors: 黃惠藩;Ng, Hui-Fuang
    Contributors: 資訊工程學系
    Keywords: Automatic thresholding;Defect detection
    Date: 2006-10
    Issue Date: 2012-11-26 13:55:25 (UTC+8)
    Abstract: Automatic thresholding has been widely used in the machine vision industry for automated visual inspection of defects. A commonly used thresholding technique, the Otsu method, provides satisfactory results for thresholding an image with a histogram of bimodal distribution. This method, however, fails if the histogram is unimodal or close to unimodal. For defect detection applications, defects can range from no defect to small or large defects, which means that the gray-level distributions range from unimodal to bimodal. For this paper, we revised the Otsu method for selecting optimal threshold values for both unimodal and bimodal distributions, and tested the performance of the revised method, the valley-emphasis method, on common defect detection applications.
    Relation: Pattern Recognition Letters; 27(14):1644–1649
    Appears in Collections:[資訊工程學系] 期刊論文

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