Research Algorithm on the Wheat Phenotypic Feature Extraction based on Image Processing
Abstract In order to solve the problems of manpower and long cycle in traditional manual measurement, a wheat phenotypic feature extraction and analysis system was designed and implemented based on the image processing technology. The system can analyze and estimate the phenotypic parameters of whea...
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Published in | Journal of physics. Conference series Vol. 2010; no. 1; pp. 12002 - 12009 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IOP Publishing
01.09.2021
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Online Access | Get full text |
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Summary: | Abstract
In order to solve the problems of manpower and long cycle in traditional manual measurement, a wheat phenotypic feature extraction and analysis system was designed and implemented based on the image processing technology. The system can analyze and estimate the phenotypic parameters of wheat leaf, plant and wheat ear in different growth stages. The paper introduces the estimation algorithm of wheat leaf and wheat ear characteristics in detail, including the following contents: image acquisition, image preprocessing, feature extraction, parameter data estimation, etc. the estimated data provide data basis and reference for wheat breeding experts. |
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ISSN: | 1742-6588 1742-6596 |
DOI: | 10.1088/1742-6596/2010/1/012002 |