小麦茎秆截面参数显微图像测量系统

发布时间：2018-02-15 02:05

本文关键词： 小麦茎秆显微图像测量系统高通量模板匹配　出处：《农业机械学报》2017年07期 　论文类型：期刊论文

【摘要】：小麦的抗倒性与其茎秆截面显微结构密切相关,茎秆微观结构的观测和分析对小麦遗传育种具有重要意义。研究了一种显微图像测量系统,用于精确测量小麦茎秆截面的主要参数。使用计算机、图像采集室、光学显微成像系统等搭建了硬件平台,并开发了算法软件。系统针对茎秆截面的颜色和结构特点,对显微图像进行预处理得到髓腔、厚壁的轮廓,再进行椭圆拟合以计算截面整体、髓腔和厚壁的几何参数。根据维管束结构的一致性,提出了一种具有尺度、平移和旋转不变性的模板匹配方法,用于在目标图像中识别维管束并统计数量。实验表明该自动化测量系统具有高通量和高精确度的优点,在作物重要资源的挖掘和群体遗传等研究中具有重要的价值。
[Abstract]:The resistance of wheat to toppling is closely related to the microstructure of its stem section, and the observation and analysis of the microstructure of the stem is of great significance to wheat genetics and breeding. The hardware platform is built with computer, image acquisition room and optical microscopic imaging system, and the algorithm software is developed. The system is aimed at the color and structure characteristics of stem section. The outline of the pulp cavity and thick wall is obtained by preprocessing the microscopic image, and then ellipse fitting is carried out to calculate the geometric parameters of the whole section, the medullary cavity and the thick wall. According to the consistency of the vascular bundle structure, a scale is proposed. The template matching method of translation and rotation invariance is used to identify and count vascular bundles in target image. Experiments show that the automatic measurement system has the advantages of high throughput and high accuracy. It has important value in the research of crop important resources mining and population heredity.
【作者单位】：华中农业大学工学院;华中农业大学植物科学技术学院;
【基金】：中央高校基本科研业务费专项资金项目(2662015PY078、2662015PY009) 国家自然科学基金项目(61503146) 国家大学生创新创业训练项目(201510504059)
【分类号】：S512.1;TP391.41

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