计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (6): 184-186.DOI: 10.3778/j.issn.1002-8331.2009.06.052

• 图形、图像、模式识别 • 上一篇    下一篇

模糊边界矩特性研究

韩 斌1,2,王士同1   

  1. 1.江南大学 信息工程学院,江苏 无锡 214122
    2.江苏科技大学 计算机科学与工程学院,江苏 镇江 212003
  • 收稿日期:2008-09-17 修回日期:2008-11-17 出版日期:2009-02-21 发布日期:2009-02-21
  • 通讯作者: 韩 斌

Study on characteristics of blurred boundary moments

HAN Bin1,2,WANG Shi-tong1   

  1. 1.School of Information Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China
    2.School of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003,China
  • Received:2008-09-17 Revised:2008-11-17 Online:2009-02-21 Published:2009-02-21
  • Contact: HAN Bin

摘要: 研究了图像边界矩的模糊不变性,推导出模糊边缘带区域不变矩中Φ2(Fe) ~Φ7(Fe)与该图像所对应的清晰图像的边界不变矩Φ2~Φ7一致的结论。利用该结论,对模糊图像提取边界不变矩特征时,可不必首先精确提取其精确边缘,方便了边界不变矩特征的提取,提高了边界不变矩特征提取的鲁棒性。仿真实验结果也验证了结论的正确性。

关键词: 边界矩, 模糊不变矩, 特征提取, 模糊图像

Abstract: The paper studies the blurred invariability of image boundary moment and deduces a conclusion that blurred edge area moment invariance Φ2(Fe) ~Φ7(Fe) are consistent with the corresponding clean image’s edge moment invariance Φ2~Φ7.Using this result,it is not necessary to precisely extract its crisp edge at first when extracting boundary invariable moment from blurred images.This makes it convenient to extract boundary invariable moment features and promotes the robustness of boundary invariable moment feature extracting.Experimental results also validate the correctness of the conclusion.

Key words: boundary moments, blur invariants, feature extraction, blurred image