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林业科学 ›› 2020, Vol. 56 ›› Issue (10): 184-191.doi: 10.11707/j.1001-7488.20201020

• 研究简报 • 上一篇    下一篇

基于对称凸包和平滑轮廓的单木通透度计算

张卫正1,张伟伟1,*,李灿林1,万瀚文2,张秋闻1,刘岩1,金保华1   

  1. 1. 郑州轻工业大学计算机与通信工程学院 郑州 450002
    2. 郑州大学国际学院 郑州 450052
  • 收稿日期:2018-05-18 出版日期:2020-10-25 发布日期:2020-11-26
  • 通讯作者: 张伟伟
  • 基金资助:
    国家自然科学基金项目(61403349);国家自然科学基金项目(6160031133);河南省科技攻关项目(182102110399);河南省科技攻关项目(192102110203);河南省高等学校重点科研项目(18A210025);河南省高等学校重点科研项目(20A520004)

Calculation of Single Tree Permeability Based on Symmetrical Convex Hull and Smooth Outline

Weizheng Zhang1,Weiwei Zhang1,*,Canlin Li1,Hanwen Wan2,Qiuwen Zhang1,Yan Liu1,Baohua Jin1   

  1. 1. School of Computer and Communication Engineering, Zhengzhou University of Light Industry Zhengzhou 450002
    2. International College of Zhengzhou University Zhengzhou 450052
  • Received:2018-05-18 Online:2020-10-25 Published:2020-11-26
  • Contact: Weiwei Zhang

摘要:

目的: 为解决现有单木通透度评估受观察者视角和主观性影响较大、难以建立统一判别标准的问题,基于树木数字图像进行单木结构特征识别与整合,研究树冠所形成的内部和外部区域,定量评估单木通透度,为单木健康状况监测和生长状态分析提供技术支持。方法: 以雪松为研究对象,采用Surface Pro 4获取单木图像,利用压感触控笔手工圈存图像中冠层区域,并将圈存区域进行图像灰度化和二值化,得树木二值化图像,运用形态学运算获得树冠平滑轮廓,确定树冠在竖直方向的对称轴,建立树冠基于对称轴的镜像,使用DelaunayTri函数得到冠层三角网,Convex hull函数得到树冠凸包,从平滑轮廓中任意点开始沿顺时针方向行走,计算平滑轮廓上各点到凸包的最短距离,利用K-均值聚类算法确定深度和轻度凹陷,计算深度凹陷密度,将树冠平滑轮廓内区域进行连通区域标记,利用K-均值聚类算法将标记的连通区域分为大孔和小孔,分别计算大孔和小孔密度,对深度凹陷密度、大孔和小孔密度3个系数赋予不同权重,定量评估单木通透度。参考林业专家经验和树木生长规律,采用深度凹陷密度、大孔和小孔密度3个系数定量评估单木通透度,考虑深度凹陷对冠形和通透度的影响高于大孔,对深度凹陷赋予更大加权,并加入小孔对通透度的贡献,从0°、30°、60°、90°、120°和150°共6个角度获取6个树冠图像,以平均值Tca作为单木通透度系数,减小因视角变化引起的通透度波动,尽可能精确反映单木真实状况。采用AutoCAD 2010结合Photoshop CC 2017设计单木验证模型,对本研究所提出方法进行试验验证和精度分析。结果: 理想情况下的小孔密度、大孔密度、深度凹陷密度和通透度分别为0.125 0、0.125 0、0.162 9和0.264 6,采用本研究所提出方法计算的小孔密度、大孔密度、深度凹陷密度和通透度分别为0.117 8、0.124 1、0.164 0和0.258 6,本研究所提出方法的精度高达97.73%。结论: 本研究所提出方法测量速度快、人工工作量小,可为单木健康状况监测和生长状态分析提供技术支持,同时该研究思路和方法也可以推广应用到其他树木和作物的监测分析,具有一定的实用价值。

关键词: 对称凸包, 平滑轮廓, 深度凹陷, 大孔, 小孔, 通透度

Abstract:

Objective: In order to solve the problems those the evaluation of the existing single wood permeability is greatly affected by the observer's perspective and subjectivity, and it is difficult to establish a unified judgment standard, based on the digital image of trees, this study aimed to identify and integrate the structural characteristics of the single tree. The inner and outer areas formed by the canopy were used to quantitatively evaluate the canopy permeability, with an expect to provide technical supports for the health monitoring and growth status analysis of single trees. Method: Taking cedar as the research object, the image of a single tree was obtained using Surface Pro 4. Using a pressure-sensitive stylus to manually circle the canopy area in the image, and further graying and binarizing the circled area, the binarized image of a tree was obtained. By using morphological operations, the smooth outline of the canopy was obtained, to determine the vertical symmetry axis of the canopy, establishing a mirror image of the canopy based on the symmetry axis. By using the DelaunayTri function, the triangulation of the canopy was obtained, and then the canopy Convex hull was also obtained by using the convexhull function to obtain. The shortest distance from each point on the smooth outline to the convex hull was calculated by starting from any point in the smooth outline and walking in a clockwise direction.By using K-means clustering algorithm to determine deep and light depressions, and calculating deep depressions density, the area within the smooth outline of the canopy was marked as a connected area. By using K-means clustering to divide the connected area into large holes and small holes, the density of large holes and small holes was calculated respectively. The three coefficients of density and pore density were given different weights to quantitatively evaluate the permeability of single wood. Referring to the experience of forestry experts and tree growth rules, three coefficients of deep depression density, large hole density and small hole density in the canopy profile were used to quantitatively evaluate the single tree permeability. Taking into account the effects of deep depression on the crown shape and permeability were higher than those of the large hole, a greater weight was given to the depth depression. In addition, the contribution of the small hole to the transparency was added, 6 canopy images were obtained from 6 angles of 0°, 30°, 60°, 90°, 120°, 150°. The average Tca was used as the permeability coefficient of the single tree to reduce the fluctuation of the transparency caused by the change of viewing angle, and the true state of the single tree was reflected as accurately as possible. AutoCAD 2010 combined with Photoshop CC 2017 was used to design the single-wood verification model, and the method proposed in this study were tested and verified. Result: Ideally, the density of small hole, the density of large hole, deep depression density, and permeability was 0.125 0, 0.125 0, 0.162 9, and 0.264 6, using the method propose by this research, the density of small hole, the density of large hole, deep depression density, and permeability was 0.117 8, 0.124 1, 0.164 0, and 0.258 6. The method proposed by this research had an accuracy of up to 97.73%. Conclusion: The method proposed by this research, had a fast measurement and a small manual workload. It was expected to provide a technical support for the health monitoring and growth status analysis of single trees. At the same time, the research ideas and method could also be applied to other trees and crops. The monitoring analysis also might have a certain practical value.

Key words: symmetrical convex hull, smooth outline, deep depression, large hole, small hole, permeability

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