| 基于小波变换的自适应阀值植物根系图像边缘检测 |
| |
| 引用本文： | 宋文龙,闵昆龙,邢奕,张瑜.基于小波变换的自适应阀值植物根系图像边缘检测[J].北京科技大学学报,2012,34(8):966-970. |
| |
| 作者姓名： | 宋文龙 闵昆龙 邢奕 张瑜 |
| |
| 作者单位： | 1. 东北林业大学机电工程学院,哈尔滨,150040
2. 北京科技大学土木与环境工程学院,北京,100083 |
| |
| 基金项目： | 国家自然科学基金资助项目，中央高校基本科研业务费专项资金资助项目，新世纪优秀人才支持计划资助 |
| |
| 摘 要： | 植物根系的生长状况可以反映该地区的气候及土壤特性，现有的根系研究方法如挖掘法、整段标本法和剖面法，都有破坏样本和工作量大等缺点．为了实时跟踪植物根系生长状况，介绍了一种基于多尺度小波变换和自适应阀值的图像处理方法，对采用内窥方法获得的根系图像进行边缘检测，并将边缘提取后的图像进行融合．此方法可以在不损伤植物根系的前提下自动对根系的生长情况进行提取分析，实现实时采集及精确测量根系的物理参数．
|
| 关 键 词： | 植物根系 图像处理 边缘检测 小波变换 自适应阀值 内窥方法 |
Roots image edge detection based on adaptive thresholds and wavelet transforms |
| |
| SONG Wen-long,MIN Kun-long,XING Yi,ZHANG Yu.Roots image edge detection based on adaptive thresholds and wavelet transforms[J].Journal of University of Science and Technology Beijing,2012,34(8):966-970. |
| |
| Authors: | SONG Wen-long MIN Kun-long XING Yi ZHANG Yu |
| |
| Institution: | 1) 1) College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,China 2) School of Evil and Environmental Engineering,University of Science and Technology Beijing,Beijing 100083,China |
| |
| Abstract: | The root’s growing condition can reflect the climatic characteristics and soil status.Existing methods such as excavation,monolith and bisection will destroy the sample and have too much work to do.To track the root’s growing addition in real time,this paper introduced a method based on adaptive thresholds and multiscale wavelet transforms,by which we can detect the edge of a root’s image that obtained by endoscopy and then mosaic the images extracted from the edge.The method analyses the growing condition of the root automatically without any destroying.Through this system,we can acquire real-time collection and accurately measure the root’s physical parameters. |
| |
| Keywords: | plant roots image processing edge detection wavelet transforms adaptive thresholds endoscopy |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
