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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Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2014/751927 |
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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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1721342029394345984 |