边缘分割算法在机场识别中的应用  

Application of edge division algorithms in airport recognition

作　　者：陈旭光[1] 林卉[2] 

机构地区：[1]徐州师范大学现代教育技术中心,江苏徐州221116 [2]徐州师范大学测绘学院,江苏徐州221116

出　　处：《微计算机信息》2012年第1期163-165,共3页Control & Automation

摘　　要：机场识别作为模式识别领域的问题之一,在军事上有着重要的应用前景。图像的边缘包含了大量的梯度信息,图像中的真实边界点处的梯度强度大于其左右领域的梯度强度值。本文结合机场识别自身的特点,通过对几种经典的边缘分割算法的比较,并对实验结果进行分析,论述了几种不同分割算法的优劣,为了进一步的识别工作做好了准备。As one of the problems in the pattern recognition domain,the airport recognition has a significant application prospect in the military affairs.Image edges contains a large amount of gradient information,and characteristic of which the grad value is bigger in real edge than in its adjoined point.Aiming at the airport recognition,this paper compares with several classic edge division algorithms.By analyzing the experimental results,this paper discusses the advantages and disadvantages of several different edge division algorithms and is ready for the further recognition.

关 键 词：边缘分割 机场识别 模式识别 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]