基于VC的叶类中药显微特征识别软件设计-《计算机技术与发展》

文章信息/Info

Title:: Software Design of Leafy Medicine Microscopic Feature Recognition Based on VC

作者:: 侯青¹; 李伟²；侯宝峰[3]；韩玲[3]; 任娜娜²; 刘玉娥²; 孙静¹; 1.陕西中医学院；2.长安大学信息工程学院；3.陕西中医学院第一附属医院

Author(s):: HOU Qing[1; LI Wei[2]; HOU Bao-feng[3]; HAN Ling[3]; REN Na-na[2]; LIU Yu-e[2]; SUN Jing[1]

Keywords:: leafy medicine; microscopic feature recognition; stomatal index; VC

摘要:: 文中为解决传统中药检测效率不高的现状，针对实际情况中对叶类中药显微检测的要求，设计出了一种可用于叶类中药显微特性检测的方法。该方法主要是通过研究当前的各种图像分割技术，根据叶类中药显微图像中不同分割目标的特点，选择适当的图像分割技术和算法实现叶类中药显微图像中目标的快速高效分割，并且基于VC实现了叶类中药显微图片中细胞和气孔的分割，从而计算出该叶类中药的气孔指数。检测结果直观准确，为准确实现叶类中药检测提供了支持。

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.