PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image

PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image

Forest canopy image segmentation is a key step to forest canopy parameters using digital image processing methods According to the characteristics of forest canopy fisheye images with complex background and high resolution, this paper proposed a PSOoptimized forest canopy image decomposition Otsu...

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Bibliographic Details
Main Authors: ZHU Liang-kuan, SHAO Si-xie, JING Wei-peng, LIU Liang
Format: Article
Language:zho
Published: Harbin University of Science and Technology Publications 2019-10-01
Series:Journal of Harbin University of Science and Technology
Subjects:
forest canopy image
image processing
automatic threshold segmentation
three dimensional otsu method
particle swarm optimization
Online Access:https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1740
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Summary:Forest canopy image segmentation is a key step to forest canopy parameters using digital image processing methods According to the characteristics of forest canopy fisheye images with complex background and high resolution, this paper proposed a PSOoptimized forest canopy image decomposition Otsu method 3D segmentation algorithm In this method, the 3D OTSU was decomposed, which reduced the computing time and storage space, and the PSO algorithm was adopted to optimize the twodimensional Otsu to obtain the threshold process Experimental results showed that the algorithm proposed in this paper can quickly and accurately segment the fisheye images of forest canopy, especially in the details of treetops The proposed method can provide a technical support for forest canopy parameters measurement
ISSN:1007-2683

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