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
收稿日期:
修回日期:
出版日期:
发布日期:
通讯作者:
,,
Received:
Revised:
Online:
Published:
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
宿丁,张启衡,谢盛华.
,,. Segmentation Algorithm for Multi-targets in Sea Surf[J]. Computer Engineering and Applications, 2006, 42(16): 12-.
0 / 推荐
导出引用管理器 EndNote|Ris|BibTeX
链接本文: http://cea.ceaj.org/CN/
http://cea.ceaj.org/CN/Y2006/V42/I16/12
