北京科技大学学报2012，Vol.34Issue(8)：966-970,5.
基于小波变换的自适应阀值植物根系图像边缘检测
Roots image edge detection based on adaptive thresholds and wavelet transforms
摘要
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 muhiscale 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.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Key words
plant roots/image processing/edge detection/wavelet transforms/adaptive thresholds/endoscopy分类
计算机与自动化引用本文复制引用
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):966-970,5.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 （）
