| 水稻花粉颗粒显微图像采集与分析系统研究 |
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| 引用本文： | 辛莉,胡茂海,周绍光.水稻花粉颗粒显微图像采集与分析系统研究[J].应用光学,2004,25(1):43-45. |
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| 作者姓名： | 辛莉 胡茂海 周绍光 |
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| 作者单位： | 1. 河海大学,土木工程学院,江苏,南京,210098
2. 南京理工大学,电光学院,江苏,南京,210094 |
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| 摘 要： | 文章描述了水稻花粉颗粒显微图像采集与分析系统的原理及结构.充分利用细胞显微图像彩色信息进行阈值分割,根据细胞形态特征,提出一种形态识别统计算法.实验结果证明此方法快速、有效,并已初步应用于农业生物学研究.
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| 关 键 词： | 显微图像 图像采集 阈值分割 模式识别 |
| 文章编号： | 1002-2082(2004)01-0043-03 |
| 收稿时间： | 2003/5/17 |
Study of Rice Microspore Microscopy Image Collection and Analysis System |
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| XIN Li,HU Mao-hai,ZHOU Shao-guang.Study of Rice Microspore Microscopy Image Collection and Analysis System[J].Journal of Applied Optics,2004,25(1):43-45. |
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| Authors: | XIN Li HU Mao-hai ZHOU Shao-guang |
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| Institution: | 1.Civil Engineering College, Hehai University, Nanjing 210098, China; 2.Institute of Electronic Engineering and Optoelectronic Technology, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | The principle and structure of rice microspore microscopy image collection and analysis system are discussed. Make use of colour information of the cell microscope image to complete threshold segmentation. According to the cell characteristics, the arithmetic of signature recognition in morpha and statistic is proposed. The experimental result shows that the method is fast and effective, and has been applied in the study of agrobiology. |
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| Keywords: | microscopy image image collection threshold segmentation pattern recognition |
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