Arabidopsis Growth Simulation Using Image Processing Technology

This paper aims to provide a method to represent the virtual Arabidopsis plant at each growth stage. It includes simulating the shape and providing growth parameters. The shape is described with elliptic Fourier descriptors. First, the plant is segmented from the background with the chromatic coordi...

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Main Authors: Junmei Zhang, Qiuhong Ke, Ye Tian
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2014/751927
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spelling doaj-06a5bf9ce0d9494281c652209483bc262021-07-02T03:11:29ZengHindawi LimitedJournal of Electrical and Computer Engineering2090-01472090-01552014-01-01201410.1155/2014/751927751927Arabidopsis Growth Simulation Using Image Processing TechnologyJunmei Zhang0Qiuhong Ke1Ye Tian2School of Technology, Beijing Forestry University, Beijing 100083, ChinaSchool of Technology, Beijing Forestry University, Beijing 100083, ChinaSchool of Technology, Beijing Forestry University, Beijing 100083, ChinaThis paper aims to provide a method to represent the virtual Arabidopsis plant at each growth stage. It includes simulating the shape and providing growth parameters. The shape is described with elliptic Fourier descriptors. First, the plant is segmented from the background with the chromatic coordinates. With the segmentation result, the outer boundary series are obtained by using boundary tracking algorithm. The elliptic Fourier analysis is then carried out to extract the coefficients of the contour. The coefficients require less storage than the original contour points and can be used to simulate the shape of the plant. The growth parameters include total area and the number of leaves of the plant. The total area is obtained with the number of the plant pixels and the image calibration result. The number of leaves is derived by detecting the apex of each leaf. It is achieved by using wavelet transform to identify the local maximum of the distance signal between the contour points and the region centroid. Experiment result shows that this method can record the growth stage of Arabidopsis plant with fewer data and provide a visual platform for plant growth research.http://dx.doi.org/10.1155/2014/751927
collection DOAJ
language English
format Article
sources DOAJ
author Junmei Zhang
Qiuhong Ke
Ye Tian
spellingShingle Junmei Zhang
Qiuhong Ke
Ye Tian
Arabidopsis Growth Simulation Using Image Processing Technology
Journal of Electrical and Computer Engineering
author_facet Junmei Zhang
Qiuhong Ke
Ye Tian
author_sort Junmei Zhang
title Arabidopsis Growth Simulation Using Image Processing Technology
title_short Arabidopsis Growth Simulation Using Image Processing Technology
title_full Arabidopsis Growth Simulation Using Image Processing Technology
title_fullStr Arabidopsis Growth Simulation Using Image Processing Technology
title_full_unstemmed Arabidopsis Growth Simulation Using Image Processing Technology
title_sort arabidopsis growth simulation using image processing technology
publisher Hindawi Limited
series Journal of Electrical and Computer Engineering
issn 2090-0147
2090-0155
publishDate 2014-01-01
description This paper aims to provide a method to represent the virtual Arabidopsis plant at each growth stage. It includes simulating the shape and providing growth parameters. The shape is described with elliptic Fourier descriptors. First, the plant is segmented from the background with the chromatic coordinates. With the segmentation result, the outer boundary series are obtained by using boundary tracking algorithm. The elliptic Fourier analysis is then carried out to extract the coefficients of the contour. The coefficients require less storage than the original contour points and can be used to simulate the shape of the plant. The growth parameters include total area and the number of leaves of the plant. The total area is obtained with the number of the plant pixels and the image calibration result. The number of leaves is derived by detecting the apex of each leaf. It is achieved by using wavelet transform to identify the local maximum of the distance signal between the contour points and the region centroid. Experiment result shows that this method can record the growth stage of Arabidopsis plant with fewer data and provide a visual platform for plant growth research.
url http://dx.doi.org/10.1155/2014/751927
work_keys_str_mv AT junmeizhang arabidopsisgrowthsimulationusingimageprocessingtechnology
AT qiuhongke arabidopsisgrowthsimulationusingimageprocessingtechnology
AT yetian arabidopsisgrowthsimulationusingimageprocessingtechnology
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