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基于多阈值分割的快速舰船目标检测方法

Fast Ship Detection Based on Multi-threshold Image Segmentation

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【作者】 洪志令姜青山董槐林王声瑞

【机构】 厦门大学计算机科学系厦门大学软件学院

【摘要】 <正>1引言常见的基于区域的图像分割方法有阈值分割,区域生长与分裂合并和聚类分割法。阈值分割法是一种简单有效的图像分割方法,最具代表性的阈值分割方法有直方图阈值、类间方差阈值、最大熵值、模糊聚类分割法等。

【Abstract】 In this paper,we propose a new multi-threshold image segmentation method based on two-dimensional histogram.The new method is also applied to high-resolution SAR imagery to detect ship.In this method,we treat histogram as relief map which is made of catchment basins and watersheds.By virtue of the algorithm of immersion simulations,we complete the multi-threshold image segmentation.Essentially,it’s a data cluster process which based on a hypothesis that the data are drawn from one of several probabilistic distributions.In our experiment,we compare our method with several existing popular methods.The experiment show that our method is not only direct, simple and less computing,but also can get the threshold exactly,it more fit for image segmentation.The application in SAR ship detection shows its validity.

【基金】 福建省自然基金(A0410002);985-2期项目(0000-X07204)
  • 【会议录名称】 第二十三届中国数据库学术会议论文集(技术报告篇)
  • 【会议名称】第二十三届中国数据库学术会议
  • 【会议时间】2006-11-10
  • 【会议地点】中国广东广州
  • 【分类号】TP391.41
  • 【主办单位】中国计算机学会数据库专业委员会
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