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CLC number: TP391.4; S758

On-line Access: 2016-08-05

Received: 2016-04-14

Revision Accepted: 2016-07-14

Crosschecked: 2016-07-26

Cited: 0

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Citations:  Bibtex RefMan EndNote GB/T7714


Wen-long Song


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


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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%T Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography
%A Jia-yin Song
%A Wen-long Song
%A Jian-ping Huang
%A Liang-kuan Zhu
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%I Zhejiang University Press & Springer
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T1 - Segmentation and focus-point location based on boundary analysis in forest canopy hemispherical photography
A1 - Jia-yin Song
A1 - Wen-long Song
A1 - Jian-ping Huang
A1 - Liang-kuan Zhu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1601169

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.



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


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