Non-Invasive Image Processing Method for Detecting Seed Vigor

Ming Jian Li; Jia Han Guo; Zheng Yu; Lei Yan; Ning Han

doi:10.4028/www.scientific.net/AMM.397-400.2134

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A New Algorithm of Weld Seam Detection Based on Mathematical Morphology
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Random Phase Weak Sine Signal Detection Based on Autocorrelation and Chaos Theory
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Non-Invasive Image Processing Method for Detecting Seed Vigor
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Non-Invasive Image Processing Method for Detecting...

Non-Invasive Image Processing Method for Detecting Seed Vigor

Abstract:

With the development of technology, the agricultural industry has become far more efficient and mechanization. In this paper, image processing method was adopted to detect the changes in seeds temperature, aiming at discovering the laws in seed germination. Oak seeds were selected as samples. The method can be divided into two steps----image segmentation, data extraction and analysis. 32400 images for 90 seeds were captured, and the changing curve of seeds temperature was described based on the images we collected. The result showed that the method was available to capture the changes of seeds temperature during its germination. Even, further research aiming at distinguishing seeds vigor by temperature information, is of great value.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

2134-2137

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.2134

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Online since:

September 2013

Authors:

Ming Jian Li, Jia Han Guo, Zheng Yu, Lei Yan, Ning Han

Keywords:

Data Extraction and Analysis, Image Processing, Image Segmentation, Seed Temperature, Seed Vigor

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