农业机械学报2017，Vol.48Issue(7)：46-52,7.DOI:10.6041/j.issn.1000-1298.2017.07.006
小麦茎秆截面参数显微图像测量系统
Measurement System for Parameters of Wheat Stem Section Based on Microimage Processing
摘要
Abstract
Lodging resistance of wheat is closely related to its stem section microstructure.Observation and analysis of stem microstructure are of great significance for the genetic breeding.A microscopic image measurement system was studied,which could be utilized to measure the main parameters of the wheat stem section accurately.The equipment including computer platform,image acquisition box and electronic microscopy imaging system etc.was used to build the hardware platform and the algorithm software was developed.According to the characteristics of the stem structure and color,the contours of both mechanical tissue and medullary cavity were obtained using image processing procedures.After then the geometrical parameters of the whole section,medullary cavity and sclerenchyma were calculated by the ellipses fitting.Based on the uniformity of the vascular bundle structure,an original template matching method was proposed.This method was invariant to scaling,translation and rotation,which was used to identify and count the vascular bundle in the target image.It showed that this automated measurement system was of high throughput and high precision.The system will play an important role in both the screening of important crops resources and population genetic research.关键词
小麦茎秆/显微图像/测量系统/高通量/模板匹配Key words
wheat stem/microimage/measurement system/high throughput/template match分类
信息技术与安全科学引用本文复制引用
徐胜勇,段宏兵,李东臣,王令强,刘生锐,王怡田..小麦茎秆截面参数显微图像测量系统[J].农业机械学报,2017,48(7):46-52,7.基金项目
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)和国家大学生创新创业训练项目(201510504059) （2662015PY078,2662015PY009）
