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基于机器视觉的马铃薯表面缺陷提取方法的研究
引用本文:李玉平,陈勉舟.基于机器视觉的马铃薯表面缺陷提取方法的研究[J].黄石理工学院学报,2009,25(5):1-3.
作者姓名:李玉平  陈勉舟
作者单位:黄石理工学院,湖北,黄石,435003
摘    要:在利用机器视觉技术检测农产品品质的过程中表面缺陷的识别相对于形状、大小和颜色的检测要复杂得多,因此对表面缺陷检测方法的研究具有重要的意义。文章以RGB三色作为分类的标准,研究用阈值法和三维空间LEG ION生物学原理相结合的方法从马铃薯的彩色图像中提取表面缺陷,取得了较好的效果。

关 键 词:机器视觉  表面缺陷  LEGION  图像分割  最小误差

Study of Extraction Method of Potato Surface Defects Based on Machine Vision
LI Yuping CHEN Mianzhou.Study of Extraction Method of Potato Surface Defects Based on Machine Vision[J].Journal of Huangshi Institute of Technology,2009,25(5):1-3.
Authors:LI Yuping CHEN Mianzhou
Institution:LI Yuping CHEN Mianzhou(Huangshi Institute of Technology,Huangshi Hubei 435003)
Abstract:In the process of the detection of agricultural product quality based on the machine vision,detection of surface defects is more complex than that of shape,size and color detection,so the research about detection method of surface defects is of great importance.In this paper,RGB is taken as a classification criteria for detection of surface defects and the method combining threshold with LEGION biological principle is studied to extract surface defects from the potato's color image,which achieves better res...
Keywords:LEGION
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