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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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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author	ZHU Liang-kuan SHAO Si-xie JING Wei-peng LIU Liang
author_facet	ZHU Liang-kuan SHAO Si-xie JING Wei-peng LIU Liang
author_sort	ZHU Liang-kuan
collection	DOAJ
description	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
format	Article
id	doaj-art-8c3f3e1547794f1cbf893e622c02fda3
institution	Kabale University
issn	1007-2683
language	zho
publishDate	2019-10-01
publisher	Harbin University of Science and Technology Publications
record_format	Article
series	Journal of Harbin University of Science and Technology
spelling	doaj-art-8c3f3e1547794f1cbf893e622c02fda32025-08-20T03:46:38ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832019-10-01240512813310.15938/j.jhust.2019.05.021PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy ImageZHU Liang-kuan0SHAO Si-xie1JING Wei-peng2LIU Liang3School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaSchool of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaSchool of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaSchool of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, ChinaForest 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 measurementhttps://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1740forest canopy imageimage processingautomatic threshold segmentationthree dimensional otsu methodparticle swarm optimization
spellingShingle	ZHU Liang-kuan SHAO Si-xie JING Wei-peng LIU Liang PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image Journal of Harbin University of Science and Technology forest canopy image image processing automatic threshold segmentation three dimensional otsu method particle swarm optimization
title	PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image
title_full	PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image
title_fullStr	PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image
title_full_unstemmed	PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image
title_short	PSOOptimizedFast Segmentation Algorithm for 3D Otsu Forest Canopy Image
title_sort	psooptimizedfast segmentation algorithm for 3d otsu forest canopy image
topic	forest canopy image image processing automatic threshold segmentation three dimensional otsu method particle swarm optimization
url	https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1740
work_keys_str_mv	AT zhuliangkuan psooptimizedfastsegmentationalgorithmfor3dotsuforestcanopyimage AT shaosixie psooptimizedfastsegmentationalgorithmfor3dotsuforestcanopyimage AT jingweipeng psooptimizedfastsegmentationalgorithmfor3dotsuforestcanopyimage AT liuliang psooptimizedfastsegmentationalgorithmfor3dotsuforestcanopyimage

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

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