基于阈值分析的曲线拟合和边缘检测生猪侧视点云补全
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家重点研发计划项目(2016YFD0700204)


Side-view Point Cloud Completion Method Combining Cubic B-spline Curve Fitting and Edge Detection Based on Threshold 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:

    针对基于深度相机的生猪体尺检测中,生猪胸围、腹围因栏杆遮挡而无法准确测量的问题,本文提出一种基于阈值分析的三次B样条曲线拟合和边缘检测相结合的方法,实现对侧视点云缺失区域的补全。对DK深度相机采集到的模型猪左侧原始点云数据进行预处理,采用直通滤波、体素网格下采样、统计滤波及欧氏聚类等方法提取生猪的侧视点云。对侧视点云进行切片、阈值分析、投影,拟合得到曲线拟合之后的补全点云。对侧视点云进行边缘检测得到边缘点云,对边缘点云的缺失区域进行拟合补全,得到完整的边缘点云,将曲线拟合之后的补全点云与边缘点云进行对比分析,剔除超出边缘的补全点云得到最终补全点云。最后,分别对未补全点云、补全点云进行体尺测点的自动化提取和人工提取,比较点云补全前后体尺测点的提取误差。试验结果表明,通过本文方法对腹部缺失点云进行补全后,腹围测点的提取误差由1.54cm降至0.64cm,对胸部缺失点云补全后,胸围测点的提取误差由3.41cm降至0.89cm。

    Abstract:

    Aiming at the problem that the breast and belly circumference of pigs cannot be accurately measured due to the barriers of the railing in the study of pig body size detection based on depth camera, a method of combining cubic B-spline curve fitting and edge detection based on threshold analysis was proposed, to achieve the completion of the missing area of the side-view point cloud.The original point cloud data on the left side of the fake pig collected by the DK depth camera was preprocessed, and the side-view point cloud of the pig was extracted by methods such as straight-through filtering, voxel grid down-sampling, statistical filtering and Euclidean clustering. Perform slicing, threshold analysis, projection, and fitting of the side-view point cloud were carried out to obtain the complementary point cloud after curve fitting, and then edge detection was performed on the side-view point cloud to obtain the edge point cloud, and the missing part of the edge point cloud was fitted and complemented to obtain a complete edge point cloud, the complementary point cloud after curve fitting was analyzed and compared with the edge point cloud, and the complementary point cloud was removed beyond the edge to obtain the final side-view complementary point cloud.Automatic extraction and manual extraction of body size measurement points were performed on the uncompleted point cloud and the complete point cloud respectively. The experimental results showed that after completing the missing point cloud of the abdomen by the method, the selection error of the abdominal measurement point was reduced from 1.54cm to 0.64cm. After the missing point cloud of the chest was completed, the selection error of the chest measurement point was reduced from 3.41cm to 0.89cm. The research results can provide a method for the side-view point cloud completion of pigs.

    参考文献
    相似文献
    引证文献
引用本文

李孟飞,康 熙,王彦超,陈 珏,张馨月,刘 刚.基于阈值分析的曲线拟合和边缘检测生猪侧视点云补全[J].农业机械学报,2021,52(S0):81-88. LI Mengfei, KANG Xi, WANG Yanchao, CHEN Jue, ZHANG Xinyue, LIU Gang. Side-view Point Cloud Completion Method Combining Cubic B-spline Curve Fitting and Edge Detection Based on Threshold Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2021,52(S0):81-88.

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:2021-07-10
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-11-10
  • 出版日期: 2021-12-10