基于图像边界特征的人体寄生虫虫卵形状分类算法研究  

Study on Image Shape Classification Algorithm of Human Parasite Eggs Based on Boundary Features

作　　者：李峰[1] 孙启艳[1] 

机构地区：[1]江苏大学计算机科学与通信工程学院,镇江212013

出　　处：《计算机科学》2012年第5期261-265,共5页Computer Science

基　　金："传染病重大专项"(2008ZX1004-002)资助

摘　　要：针对基于图像的寄生虫虫卵外形分类中存在的不足,提出了一种基于边缘空间分布直方图的寄生虫虫卵形状分类算法,即首先基于不同种类虫卵的边缘轮廓特征对被识别虫卵进行初步定位,在此基础上利用水平集方法进行边缘提取,进而利用傅立叶描述子实现形状分类。实验表明,该方法具有较好的识别率和运行效率。In view of the shortcomings of shape classification method based on images of parasite eggs,this paper proposed a new classification algorithm based on boundary spatial distribution of parasite eggs.Firstly the location of parasite egg is positioned based on edge profile features of different eggs,and then method of level set is used to extract edge.Finally feature classification is realized by using Fourier descriptors.Experimental results show that this new method has better recognition rate and operating efficiency.

关 键 词：寄生虫虫卵 边缘检测 水平集 边缘空间分布直方图 形状分类识别 傅立叶描述子 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]