A PET Bottle Mouth Detection Method Based on Morphologic

Z. Lv, Liqun Lin, Taisong Jin, Yuan Li
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引用次数: 2

Abstract

During the production of PET bottles, we must detect the roundness and flaws of the bottle mouth in order to prolong the guarantee period of the drink. After obtaining the images from the product line, we used both common and morphologic method to denoise. Then we extracted the region of interest by enhancing the contrast and binary. We scan from the horizontal and vertical direction to form a grid. And Scan from another two perpendicular axes to form a new grid. We located the centre of the bottle mouth and check whether it is round enough by these multi-direction grids. At last, we used radial scanning to detect the scratches. We calculated the points in each of the sweep intervals and recognized the scratches by choosing a reasonable threshold. Comparing to the core method and Hough Transform method [1], the method to locate the centre of the round is simpler and faster. And we can check the roundness and detect the flaws efficiently. In experiments, we can detect the scratch in size of 0.15mm which can meet the demand of the industrial production.
基于形态学的PET瓶口检测方法
在生产PET瓶的时候,一定要对瓶口的圆度和瑕疵进行检测,这样才能延长饮料的保修期。在获得产品线图像后,我们采用普通和形态学方法对图像进行去噪。然后通过增强对比度和二值化来提取感兴趣的区域。我们从水平和垂直方向扫描,形成一个网格。从另外两个垂直的轴上扫描,形成一个新的网格。我们定位瓶口的中心,并通过这些多方向网格检查它是否足够圆。最后,采用径向扫描检测划痕。我们计算了每个扫描间隔中的点,并通过选择合理的阈值来识别划痕。与核心法和霍夫变换法[1]相比,该方法定位圆心更简单,速度更快。并能有效地检测圆度和缺陷。在实验中,我们可以检测到0.15mm大小的划痕,可以满足工业生产的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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