显微图像目标识别与结构提取方法研究  

Target Recognition and Structure Extraction in Microscopic Images

作　　者：常君明[1] 任琼[1] 许璐[1] 许中元 

机构地区：[1]江汉大学数学与计算机学院,武汉430056

出　　处：《舰船电子工程》2016年第12期43-45,137,共4页Ship Electronic Engineering

基　　金：武汉市科技局项目(编号:2013071004010472);湖北省教育厅项目(编号:B2016281)资助

摘　　要：比较了显微图像和宏观图像之间的区别。针对显微图像特点,对已有的图像处理方法进行分析与比较,并加以改进与优化,建立了适合显微图像的目标识别与结构提取的较优方案。实验表明,研究结果不仅可以提高显微目标对象提取正确率,还可以提高特征提取的速度。The common characters are summarized by comparing microscopic images with macroscopic images. Based on microscopic image characteristics, analyzing and comparing the existing image processing algorithms which are improved and optimized later, the optimal scheme which is suitable for microscopic image target recognition and structure extraction is set up. Experiments show that the method can not only improve the microscopic object extraction accuracy, but also increase the speed of the feature extraction.

关 键 词：显微图像 目标识别 结构提取 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]