Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Jia-yin SONG; Wen-long SONG; Jian-ping HUANG; Liang-kuan ZHU

doi:10.1631/FITEE.1601169

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Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography

Regular Papers | Updated：2022-05-19

- Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography
- 基于边界分析的森林冠层半球图像中心点定位与分割
- Frontiers of Information Technology & Electronic Engineering Vol. 17, Issue 8, Pages: 741-749(2016)
- Affiliations：
  
  College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
- Author bio：
  
  E-mail:songjy@nefu.edu.cn
  E-mail:wls139@126.com
- Funds：
- DOI：10.1631/FITEE.1601169
  CLC： TP391.4; S758
- Received：14 August 2016，
  
  Accepted：14 July 2016，
  
  Published：2016-08
- Accepted：
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Jia-yin SONG, Wen-long SONG, Jian-ping HUANG, et al. Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(8): 741-749.
DOI：

Jia-yin SONG, Wen-long SONG, Jian-ping HUANG, et al. Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(8): 741-749. DOI： 10.1631/FITEE.1601169.

摘要

分析森林半球图像是测定森林冠层结构参数的重要方法之一。本文主要研究半球图像中圆形区域的分割方法，这是分析半球图像的基础。通过直方图、矩形度和傅里叶描述子进行森林半球图像边界的分析，得到边界特性如下：(1)边缘模型包含三种，分别是台阶、斜坡和屋顶边缘模型；(2)边界点离散；(3)边缘存在线性分布离散点。在此基础上我们提出了森林半球图像圆形区域的分割方法，拟合圆形边界线，同时用最小二乘法计算圆心点坐标及半径。该方法与获取图像的硬件设备参数无关，因此为引入参数自动调整的高性能设备获取森林半球图像奠定了基础。

Abstract

Analysis of forest canopy hemisphere images is one of the most important methods for measuring forest canopy structure parameters. In this study

our main focus was on using circular image region segmentation

which is the basis of forest canopy hemispherical photography. The boundary of a forest canopy hemisphere image was analyzed via histogram

rectangle

and Fourier descriptors. The image boundary characteristics were defined and obtained based on the following: (1) an edge model that contains three parts

i.e.

step

ramp

and roof; (2) boundary points of discontinuity; (3) an edge that has a linear distribution of scattering points. On this basis

we proposed a segmentation method for the circular region in a forest canopy hemisphere image

fitting the circular boundary and computing the center and radius by the least squares method. The method was unrelated to the parameters of the image acquisition device. Hence

this study lays a foundation for automatically adjusting the parameters of high-performance image acquisition devices used in forest canopy hemispherical photography.

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