欢迎访问林草资源研究

Forest and Grassland Resources Research >

2018 , Vol. 0 >Issue 5: 113 - 122

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2018.05.018

Scientific Research

Edge Detection and Edge Line Extraction of Standing Tree Trunk Based on Machine Vision

  • Wei LI ,
  • Depeng YUE
Expand
  • 1. Beijing Forestry Survey and Design Institute,Beijing 100029,China
    2. Beijing Key Laboratory of Precision Forestry,Beijing Forestry University,Beijing 100083,China

Received date: 2018-08-30

  Revised date: 2018-10-19

  Online published: 2020-09-24

Fold

Abstract

Based on the image processing and machine vision technology,the edge feature of the tree trunk image was extracted by the edge detection operator,and the linear feature of the tree trunk edge was studied.The results show that:Prewitt operator and Canny operator retain more edge details on the trunk background,but the detection rate of the trunk edge is higher,and the trunk edge continuity is better.The detection error of the edge of the tree between the Robert operator and the Prewitt operator is large.The Sobel operator,LoG operator and Canny operator have higher detection precision for the edge of the trunk.The Gaussian filtered standing images of Sigma 0.1,0.3,1.4 and 3 are edge-detected and the diameter pixel distance extraction value is compared with the visual interpretation value.The results show that the recognition bias of Sigma is 0.3~1.4.

Key words： CMOS; machine vision; edge detection operator standing timber; edge straight; feature extraction

Cite this article

Wei LI , Depeng YUE . Edge Detection and Edge Line Extraction of Standing Tree Trunk Based on Machine Vision[J]. Forest and Grassland Resources Research, 2018 , 0(5) : 113 -122 . DOI: 10.13466/j.cnki.lyzygl.2018.05.018

References

[1] 陈金星, 岳德鹏, 冯仲科, 等. 树干直径自动识别与测量技术研究[J]. 农业机械学报, 2016,47(3):349-353.
[2] 阚江明, 李文彬. 基于数学形态学的树木图像分割方法[J].北京林业大学学报, 2006(S2):132-136.
[3] 阚江明, 李文彬, 孙仁山. 基于计算机视觉的立木枝干直径自动测量方法[J]. 北京林业大学学报, 2007,29(4):5-9.
[4] 李建华. 基于三角原理的森林测高器研制与应用[D]. 济南:山东农业大学, 2011.
[5] 李文彬, 阚江明, 孙仁山. 立木枝杈点自动识别方法[J]. 北京林业大学学报, 2007,29(4):1-4.
[6] 刘金成, 黄晓东, 杨立岩, 等. 基于CCD超站仪的森林样地建立与精测方法研究[J]. 农业机械学报, 2016,47(11):316-321.
[7] 林辉, 童显德, 黄忠义. 遥感技术在我国林业中的应用与展望[J].遥感信息, 2002(1):39-43.
[8] 张明阳, 罗为检, 刘会玉, 等. 基于林业清查资料的桂西北植被碳空间分布及其变化特征[J]. 生态学报, 2013,33(16):5067-5077.
[9] 林调生. 连续森林清查的基本方法[J].林业资源管理, 1973(2):4-12.
[10] 孟宪宇. 测树学[M]. 北京: 中国林业出版社, 2006.
[11] 佘光辉. 角规测树在材积生长动态监测中应用理论与方法的研究[J]. 林业科学, 1998,34(2):25-30.
[12] 吴纪国. 数字图像处理技术在几何精密测量中的应用研究[D]. 北京:中国工程物理研究院, 2005.
[13] 向海涛, 郑加强, 周宏平. 基于机器视觉的树木图像实时采集与识别系统[J]. 林业科学, 2004,40(3):144-148.
[14] 谢茜. 基于视觉的车道线检测与识别[D]. 武汉:武汉理工大学, 2013.
[15] 杨华, 孟宪宇, 刘燕, 等. 单株立木图像信息的提取与解算[J]. 北京林业大学学报, 2005,27(1):51-54.
[16] 应义斌. 机器视觉技术在农产品品质自动识别中的应用(I)[J]. 农业工程学报, 2000,16(1):103-108.
[17] 赵茂程, 郑加强, 林小静, 等. 基于分形理论的树木图像分割方法[J]. 农业机械学报, 2004,35(2):72-75.
[18] 赵茂程, 郑加强, 凌小静. 一种基于小波变换的图像过渡区提取及分割方法[J]. 农业工程学报, 2005,21(11):103-107.
Options
Outlines

/

〈 〉