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基于图像处理的烟支污点面积测量方法

Measuring Staining Area on Cigarette Surface Based on Image Processing

  • 摘要: 针对目前烟支污点检测人工测量的各种问题,提出一种基于图像处理技术的烟支污点面积测量方法。该方法以机器视觉系统为硬件平台,首先采用柱面模型进行图像转换,建立图像坐标系与展开坐标系的映射关系;然后利用正切函数对图像作增强处理,增强目标与背景的对比度;最后通过改进的区域生长法分割污点,排除烟支周期纹理和颜色分布的干扰。实验结果表明:该方法测量效率高,稳定性强,精度达到0.03 mm2,能够满足烟支污点的检测需求。

     

    Abstract: Aiming at the problems in hand measurement staining area on cigarette surface,a measuring method based on image processing was proposed wherein a machine vision system was used as hardware platform.Firstly,a cylindrical surface model was used for image conversion to establish the mapping relationship between image coordinate system and expanding coordinate system.Then a tangent function was used for image enhancement to intensify the contrast between image and the background.Finally,the staining area was dissected by an improved regional growing algorithm to exclude the interferences of periodic texture and color distribution on cigarette.The results indicated that this method was of high measurement efficiency and stability with the precision of 0.03 mm2,and capable for determining stainings on cigarette.

     

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