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

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] 

机构地区：[1]陕西中医学院,陕西咸阳712046 [2]长安大学信息工程学院,陕西西安710064 [3]陕西中医学院第一附属医院,陕西咸阳712000

出　　处：《计算机技术与发展》2014年第6期56-58,62,共4页Computer Technology and Development

基　　金：陕西省教育专项科研计划项目(12JK1029);陕西省科技计划项目(2013KJXX-71)

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。In order to solve the status quo of traditional Chinese medicine testing is not high efficiency,in view of leafy medicine microscopic 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 microscopic image has different characteristics,selected a appropriate image segmentation technology and algorithm to achieve the fast and efficient 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 obvious 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 VC 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]