计算机技术与发展Issue(6)：56-58,62,4.DOI:10.3969/j.issn.1673-629X.2014.06.014
基于VC的叶类中药显微特征识别软件设计
Software Design of Leafy Medicine Microscopic Feature Recognition Based on VC
摘要
Abstract
In order to solve the status quo of traditional Chinese medicine testing is not high efficiency,in view of leafy medicine micro-scopic detection requirements,designed a kind of detection method can be used in the leafy medicine microscopic characteristics. This method is mainly based on the study of the current image segmentation technology,according to different target in leafy medicine micro-scopic image has different characteristics,selected a appropriate image segmentation technology and algorithm to achieve the fast and effi-cient segmentation of the leafy medicine microscopic image,and implemented the segmentation of cells and pores in the leafy medicine microscopic images based on VC,thereby calculating the stomatal index of this traditional Chinese medicine. The detection result is obvi-ous and accurate,providing the support for achieving the detection of the traditional Chinese medicine of leafy.关键词
叶类中药/显微特征识别/气孔指数/VCKey words
leafy medicine/microscopic feature recognition/stomatal index/VC分类
信息技术与安全科学引用本文复制引用
侯青,李伟,侯宝峰,韩玲,任娜娜,刘玉娥,孙静..基于VC的叶类中药显微特征识别软件设计[J].计算机技术与发展,2014,(6):56-58,62,4.基金项目
陕西省教育专项科研计划项目(12JK1029) （12JK1029）
陕西省科技计划项目(2013KJXX-71) （2013KJXX-71）
