Improved FCM algorithm for fisheye image cluster analysis for tree height calculation

The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing trees is always a problem that experts and scholars ar...

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Autores principales:	Jiayin Song, Yue Zhao, Zhixiang Chi, Qiang Ma, Tianrui Yin, Xiaopeng Zhang
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	tree height estimation fcm image segmentation fisheye image photogrammetry Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/1e3de943dfb04ef8886e98856dd25d21
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id	oai:doaj.org-article:1e3de943dfb04ef8886e98856dd25d21
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spelling	oai:doaj.org-article:1e3de943dfb04ef8886e98856dd25d212021-11-23T02:48:58ZImproved FCM algorithm for fisheye image cluster analysis for tree height calculation10.3934/mbe.20213881551-0018https://doaj.org/article/1e3de943dfb04ef8886e98856dd25d212021-09-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021388?viewType=HTMLhttps://doaj.org/toc/1551-0018The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing trees is always a problem that experts and scholars are trying to improve. In this study, improve fuzzy c-means algorithm to reduce the calculation time and improve the clustering effect, used on this image segmentation technology, a highly robust non-contact measuring method for the height of standing trees was proposed which is based on a smartphone with a fisheye lens. While ensuring the measurement accuracy, the measurement stability is improved. This method is simple to operate, just need to take a picture of the standing tree and determine the shooting distance to complete the measurement. The purpose of the fisheye lens is to ensure that the tree remains intact in the photograph and to reduce the shooting distance. The results of different stability experiments show that the measurement error ranged from -0.196m to 0.195m, and the highest relative error of tree measurement was 3.05%, and the average relative error was 1.45%. Analysis shows that compared with previous research, this method performs better at all stages. The proposed approach can provide a new way to obtain tree height, which can be used to analyze growing status and change in contrast height because of high accuracy and permanent preservation of images.Jiayin SongYue ZhaoZhixiang ChiQiang MaTianrui YinXiaopeng ZhangAIMS Pressarticletree height estimationfcmimage segmentationfisheye imagephotogrammetryBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 7806-7836 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tree height estimation fcm image segmentation fisheye image photogrammetry Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	tree height estimation fcm image segmentation fisheye image photogrammetry Biotechnology TP248.13-248.65 Mathematics QA1-939 Jiayin Song Yue Zhao Zhixiang Chi Qiang Ma Tianrui Yin Xiaopeng Zhang Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
description	The height of standing trees is an important index in forestry research. This index is not only hard to measure directly but also the environmental factors increase the measurement difficulty. Therefore, the measurement of the height of standing trees is always a problem that experts and scholars are trying to improve. In this study, improve fuzzy c-means algorithm to reduce the calculation time and improve the clustering effect, used on this image segmentation technology, a highly robust non-contact measuring method for the height of standing trees was proposed which is based on a smartphone with a fisheye lens. While ensuring the measurement accuracy, the measurement stability is improved. This method is simple to operate, just need to take a picture of the standing tree and determine the shooting distance to complete the measurement. The purpose of the fisheye lens is to ensure that the tree remains intact in the photograph and to reduce the shooting distance. The results of different stability experiments show that the measurement error ranged from -0.196m to 0.195m, and the highest relative error of tree measurement was 3.05%, and the average relative error was 1.45%. Analysis shows that compared with previous research, this method performs better at all stages. The proposed approach can provide a new way to obtain tree height, which can be used to analyze growing status and change in contrast height because of high accuracy and permanent preservation of images.
format	article
author	Jiayin Song Yue Zhao Zhixiang Chi Qiang Ma Tianrui Yin Xiaopeng Zhang
author_facet	Jiayin Song Yue Zhao Zhixiang Chi Qiang Ma Tianrui Yin Xiaopeng Zhang
author_sort	Jiayin Song
title	Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
title_short	Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
title_full	Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
title_fullStr	Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
title_full_unstemmed	Improved FCM algorithm for fisheye image cluster analysis for tree height calculation
title_sort	improved fcm algorithm for fisheye image cluster analysis for tree height calculation
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/1e3de943dfb04ef8886e98856dd25d21
work_keys_str_mv	AT jiayinsong improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation AT yuezhao improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation AT zhixiangchi improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation AT qiangma improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation AT tianruiyin improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation AT xiaopengzhang improvedfcmalgorithmforfisheyeimageclusteranalysisfortreeheightcalculation
_version_	1718417363687178240

Improved FCM algorithm for fisheye image cluster analysis for tree height calculation

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