计算机工程与应用 ›› 2006, Vol. 42 ›› Issue (16): 12-.

• 博士论坛 • 上一篇    下一篇

一种强海杂波多目标分形分割算法

宿丁,张启衡,谢盛华   

  1. 中国科学院光电技术研究所国家“863计划”光束控制重点实验室
  • 收稿日期:2006-02-24 修回日期:1900-01-01 出版日期:2006-06-01 发布日期:2006-06-01
  • 通讯作者: 宿丁 karl2006

Segmentation Algorithm for Multi-targets in Sea Surf

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  1. 中国科学院光电技术研究所国家“863计划”光束控制重点实验室
  • Received:2006-02-24 Revised:1900-01-01 Online:2006-06-01 Published:2006-06-01

摘要: 提出了一种提取分形尺度误差的电视图像检测分割算法。首先针对强海杂波背景特性,将多目标统归于目标类,分析了归一化的数字图像形态维分形模型,再构建分形尺度误差作为模式分类特征,并设定类间最优阈值进行分割,获得目标区域的精确位置信息,最后选取分割结果中最大局部熵点作为种子,通过区域生长得到较为完整的目标轮廓。通过对实际海景序列图像进行了仿真实验,取得了良好的检测分割效果,并具有较强的抗噪声性能。

关键词: 形态学, 分形, 尺度误差, 阈值分割, 区域生长

Abstract: A novel fractal segmentation algorithm was introduced to deal with multi-targets in sea surf. Based on analyzing and normalizing fractal morphology model, multi-targets were regarded as a whole class to avoid interaction. Then, a fractal feature named as Scale Error performs detection. After threshold segmenting and region growing, satisfied results were attained. A plenty of simulation experiments for recorded data approve its validity and veracity.

Key words: Morphology, Fractal, Scale error, Threshold segmentation, Region growing