计算机科学 ›› 2015, Vol. 42 ›› Issue (5): 72-77.doi: 10.11896/j.issn.1002-137X.2015.05.015

• 2014' 数据挖掘会议 • 上一篇    下一篇

一种多层自适应形态滤波算法

王家良,程春玲   

  1. 南京邮电大学计算机学院 南京210003,南京邮电大学计算机学院 南京210003
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受江苏省科技支撑项目(BE2012849),江苏省研究生科研创新计划项目(CXZZ12_0483)资助

Multi-layer Adaptive Morphology Filtering Algorithm

WANG Jia-liang and CHENG Chun-ling   

  • Online:2018-11-14 Published:2018-11-14

摘要: 针对现有形态滤波算法结构固定、预设结构元素和偏倚校正系数等不足,提出一种具有多层结构的自适应形态滤波算法,多层结构共分为3层:输入层、中间计算层、偏倚系数校正层。该算法在面对复杂变化的干扰信号时,可以灵活地选择利用不同结构元素计算得到的结果;同时针对形态开运算和形态闭运算所带来的偏倚现象,通过优化设置偏倚校正系数向量来减弱偏倚现象对滤波效果产生的负面影响。仿真结果表明,该算法改善了形态滤波的性能,具有设计简单、实用性强的特点。

关键词: 形态滤波器,多层结构,结构元素,自适应

Abstract: In view of deficiencies of the exiting morphology filtering algorithms,such as the fixing structure,the pre-set structuring element and bias correction coefficient,an adaptive filtering algorithm with a multi-layer structure was pre-sented.The multi-layer structure is combined with three layers:an input layer,an intermediate layer for calculating,and a layer for correcting the bias.Facing the complicated changing interfering signal,the proposed algorithm can make a choice flexibly among the results calculated by using different structuring elements.In addition,aiming at the bias caused by the opening operation and closing operation,the proposed algorithm can weaken the negative impact that the bias brings to filtering effect by optimizing the bias correction coefficient vector.Simulation results show that the proposed algorithm improves the performance of morphological filtering,and it has the characteristics of simple design and strong practicability.

Key words: Morphological filters,Multi-layer structure,Structuring element,Adaptive

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