基于VC的叶类中药显微特征识别软件设计最终版.docVIP

基于VC的叶类中药显微特征识别软件设计 侯青1 李伟3 侯宝峰2 韩玲2 任娜娜3 刘玉娥3 （1陕西中医学院，陕西 咸阳 712046） （2陕西中医学院第一附属医院，陕西 咸阳 712000） （3 长安大学信息工程学院， 陕西 西安 710064） 陕西省教育厅专项科研计划项目(12JK1029) 本文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。 叶类中药，显微特征识别，气孔指数，VC 中图分类号 TP31　　　　文献标识码 A 　　　　 SOFTWARE DESIGN OF LEAFY MEDICINE MICROSCOPIC FEATURE RECOGNITION BASED ON VC Hou Qing1 Li Wei3 HOU Baofeng2 Han Ling2 Ren Nana3 Liu Yue3 (1, Shaanxi University of Chinese Medicine, Xianyang,712046，China; 2,Affiliated Hospital Of Shaanxi University of Chinese Medicine, Xianyang,712046，China; 3,School of Information Engineering Of Chang’an University,Xi’an,710064,China) Abstract: In order to solve the status quo of traditional Chinese medicine testing is not high efficiency, in this paper, based on practice of leafy medicine microscopic detection requirements, we 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, and selected a appropriate image segmentation technology and algorithm to achieve the segmentation of the leafy medicine microscopic image fast and efficiently, and implemented the segmentation of cells and pores in the leafy medicine microscopic images based on VC, thereby calculate the stomatal index of this traditional Chinese medicine. Provide the support for achieving the accurate recognition of the traditional Chinese medicine. Leafy Medicine microscopic feature recognition stomatal index VC 0 引言 我国中药资源丰富、品种繁多，以假冒真、人为造假等现象时有发生，给中药的鉴定和研究带来很大困难。传统的显微鉴定多为人工操作，效率低下。近几年来，计算机图像技术的迅猛发展带动了中草药鉴定新技术的快速发展[1]。利用计算机图像处理技术对中草药性状特征建立一套合理化和规范化的判断指标，来指导中草药的性状鉴别，克服传统性状鉴定中因个人判断失误而产生的各种偏差，这对中草药材的临床用药、采收及科研等都具有非常重要的意义。 本文作者结