计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (32): 200-202.DOI: 10.3778/j.issn.1002-8331.2008.32.060

• 工程与应用 • 上一篇    下一篇

无源毫米波海岸线图像的边缘提取方法研究

张光锋,李兴国,娄国伟   

  1. 南京理工大学 电子工程与光电技术学院,南京 210094
  • 收稿日期:2008-05-15 修回日期:2008-07-25 出版日期:2008-11-11 发布日期:2008-11-11
  • 通讯作者: 张光锋

Research on coastal line edge extraction method from passive radiometric image

ZHANG Guang-feng,LI Xing-guo,LOU Guo-wei   

  1. School of Electronic Engineering and Optoelectronic Technology,Nanjing University of Science and Technology,Nanjing 210094,China
  • Received:2008-05-15 Revised:2008-07-25 Online:2008-11-11 Published:2008-11-11
  • Contact: ZHANG Guang-feng

摘要: 分析了无源毫米波辐射图像轮廓特征,讨论了基于二阶微分算子与形态学的图像边缘检测的方法,根据海岸线的无源毫米波辐射特性和成像特点对图像区域标识,然后利用自适应阈值操作实现多目标区域的细分,最后采用形态学边缘检测海岸线特征方法。实验结果表明:对比传统的微分算子处理结果,形态学算法具有较高的检测精度,适用于提取无源毫米波辐射图像边缘。

关键词: 海岸线, 辐射图像, 天线温度, 边缘提取, 形态学

Abstract: On basis of analyzing radiometric image outline characteristic and introducing the image segmentation approaches,this paper presents a coastal line extraction approach from 3 mm radiometric image.First it marks the typical objects according to the millimeter-wave radiation characteristic of different objects.Then it realizes image segmentation by the self-adapting threshold.Finally it adopts a sub-zone and multiple structural element morphological processing method.The result shows the method has higher precision and comprehensive applicability by contrasting to LOG processing result.

Key words: coastal line, radiometric image, antenna temperature, edge extraction, morphological