计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (15): 177-180.

• 图形、图像、模式识别 • 上一篇    下一篇

基于模糊推理的彩色图像噪音消除算法

朱亚兴1,钟  灵2,余爱民1   

  1. 1.广东科学技术职业学院 计算机工程技术学院,广东 珠海 519090
    2.广东工业大学 自动化学院,广州 510006
  • 出版日期:2012-05-21 发布日期:2012-05-30

Noise removal algorithm for color image based on fuzzy reasoning

ZHU Yaxing1, ZHONG Ling2, YU Aimin1   

  1. 1.College of Computer Engineering and Technology, Guangdong Vocational Institute of Science and Technology, Zhuhai, Guangdong 519090, China
    2.Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • Online:2012-05-21 Published:2012-05-30

摘要: 为有效消除彩色图像在采集和传输过程中出现的随机脉冲噪音,提出了一种基于模糊推理的矢量中值滤波算法。该算法通过设计的模糊规则判断当前滤波窗口对应是否为细节区域,采用不同参数的经典矢量中值滤波进行处理。若未被判断为噪音时,原滤波窗口中心像素会保留。通过与目前常见的各类矢量滤波算法进行比较,该算法在图像细节的保留上有较好效果。

关键词: 矢量滤波, 随机脉冲噪音, 彩色图像

Abstract: To remove the random impulse niose introduced during the signal trsansmission and acquisition, a new vector median filter algorithm based on fuzzy reasoning is proposed. The approach utilizes the fuzzy rules to judge whether details exist in current filtering window. Different filter methods are adopted according to the fuzzy reasoning result. When not being regarded as noise pixel, the original pixel is retained. The experiments show that the fuzzy filter algorithm outperforms other state-of-the-art filters.

Key words: vector median filter, random impulsive noise, color image