Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2016, Vol. 17 Issue (8): 741-749    DOI: 10.1631/FITEE.1601169
    
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
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Download:   PDF(0KB)
Export: BibTeX | EndNote (RIS)      

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.

Key words： Fisheye lens      Least squares method      Image segmentation      Ecology in image processing      Hemispherical photography     
Received: 14 April 2016      Published: 05 August 2016
CLC:  TP391.4  
  S758  
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Jia-yin Song
Wen-long Song
Jian-ping Huang
Liang-kuan Zhu
Cite this article:

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. Front. Inform. Technol. Electron. Eng., 2016, 17(8): 741-749.

URL:

http://www.zjujournals.com/xueshu/fitee/10.1631/FITEE.1601169     OR     http://www.zjujournals.com/xueshu/fitee/Y2016/V17/I8/741


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 
[1] Rong Jiao, Lu-ping Xu, Hua Zhang, Cong Li. Orbit determination using incremental phase and TDOA of X-ray pulsar[J]. Front. Inform. Technol. Electron. Eng., 2016, 17(6): 543-552.
[2] Hua-juan Huang, Shi-fei Ding, Zhong-zhi Shi. Primal least squares twin support vector regression[J]. Front. Inform. Technol. Electron. Eng., 2013, 14(9): 722-732.