基于图像轮廓分析的堆叠葡萄果粒尺寸检测
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金资助项目(31071320);高等学校博士点专项科研基金资助项目(20090008110007)


Overlapped Grapes Berry Size Inspection Based on Image Contour Analysis
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    提出一种堆叠葡萄果粒尺寸检测算法:首先通过8-邻域轮廓跟踪提取果穗轮廓曲线,然后基于改进的曲线旋转和局部极值判断方法搜索曲线上的凹点,从而将曲线分割成分段圆弧以实现果粒的分割和识别,进而采用最小二乘分段曲线拟合计算果粒直径。通过对巨峰葡萄的检测试验表明,该算法对葡萄果穗的果粒正确识别率在35%左右,用于统计葡萄的平均果粒直径,平均误差为0.61mm,最大误差为1.69mm,根据果粒大小分级的准确率为72.7%。

    Abstract:

    An algorithm was presented to detect size of berries on grapes bunch. Firstly, the contour curves of the grapes bunch were extracted by contour tracking. Then concave points were detected by rotating the curve continuously and searching local extremum points so that the curves were divided into circular arcs, in which each arc corresponds to one berry of the grapes. Finally, the least-square curve fitting method was applied to calculate the radius of the berries. Experiments of Jufeng grapes showed that by using the presented method, about 35% berries on a grapes bunch could be recognized. In the estimation of average berry radius of a bunch, the average error was 0.61mm, the maximum error was 1.69mm and berry size grading accuracy was 72.7%.

    参考文献
    相似文献
    引证文献
引用本文

陈英,李伟,张俊雄.基于图像轮廓分析的堆叠葡萄果粒尺寸检测[J].农业机械学报,2011,42(8):168-172,121.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期:
  • 出版日期: