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CLC number: TP391.4; S758

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2016-07-26

Cited: 0

Clicked: 6848

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Wen-long Song

http://orcid.org/0000-0001-9729-7602

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Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.8 P.741-749

http://doi.org/10.1631/FITEE.1601169


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


Author(s):  Jia-yin Song, Wen-long Song, Jian-ping Huang, Liang-kuan Zhu

Affiliation(s):  College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China

Corresponding email(s):   songjy@nefu.edu.cn, wls139@126.com

Key Words:  Fisheye lens, Least squares method, Image segmentation, Ecology in image processing, Hemispherical photography


Jia-yin Song, Wen-long Song, Jian-ping Huang, Liang-kuan Zhu. 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.

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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.

基于边界分析的森林冠层半球图像中心点定位与分割

概要: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。
关键词:鱼眼镜头;最小二乘法;图像分割;生态学图像处理;半球图像

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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