J4 ›› 2011, Vol. 24 ›› Issue (2): 51-55.

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基于小波分析的蚁群算法在图像边缘提取中的应用

 朱立勤, 高康林, 高明俊   

  1. 山东财政学院计算机信息工程学院,山东 济南 250014
  • 收稿日期:2010-09-26 出版日期:2011-04-20 发布日期:2011-04-20
  • 作者简介:朱立勤(1985-),男,硕士研究生,研究方向为智能信息处理

Application of wavelet analysis based ant colony algorithm in image edge extraction

 ZHU Li-Qi, GAO Kang-Lin, GAO Ming-Jun   

  1. School of Computer Information Engineering,Shandong University of Finance,Jinan 250014, China
  • Received:2010-09-26 Online:2011-04-20 Published:2011-04-20

摘要:

       在图像处理和识别的过程中,目标边缘作为图像的一个重要特征,起着很重要的作用。但在图像的获取过程中,不可避免地会带来噪声,加上各种干扰的存在,使目标的图像边缘比较模糊,对提取效果造成影响。针对图像边缘提取的实际应用情况,我们提出了采用自适应中值滤波和小波分解与重构的蚁群边缘处理算法,通过大量实验表明,该算法对噪声有较好的抑制作用,取得了良好的边缘提取效果。

关键词: 自适应中值滤波, 小波分解与重构, 蚁群算法, 边缘提取

Abstract:

        Object edge, an important image characteristic, is quite significant in the processing and recognition of an image. Noise and multiple interferences overlaid in the acquisition of an image blur the edge of the image and impair the extraction effect. We therefore present an adaptive median filtering and wavelet decomposition and reconstruction based ant colony algorithm for edge extraction of an image in practice. Vast experiments show that the algorithm can well suppress noise and has better edge extraction effect.

Key words: daptive median filtering, wavelet decomposition and reconstruction, ant colony algorithm, edge extraction

中图分类号: 

  • TP31