计算机科学 ›› 2012, Vol. 39 ›› Issue (9): 284-288.

• 图形图像 • 上一篇    下一篇

鲁棒的二维Renyi嫡图像闭值分割快速算法

顾晓清,孙玉强,侯振杰   

  1. (常州大学信息科学与工程学院 常州213164)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Fast Robust Thresholding Method Based on Two-dimensional Renyi's Entropy

  • Online:2018-11-16 Published:2018-11-16

摘要: 二维Renyi墒阂值分割算法是经典的图像阂值分割方法,但其性能对椒盐噪声较敏感。针对此不足,引入图像滤波中对椒盐噪声有较好鲁棒性的中值波技术,提出了新的二维直方图构造方法。为了进一步提高算法效率,分析了阂值分割目标函数的特点,使用惯性权重递增的粒子群算法对其进行优化。通过实验与原方法比较说明了此方法的优越性。

关键词: 二维直方图,阂值分割,二维Renyi嫡,粒子群算法,递增惯性权重

Abstract: The thresholding method based on two-dimensional Renyi's entropy is a classical thresholding approach.However, it suffers from the sensitivity to the salt and pepper noise. I}his paper introduced the median filtering method which is robust to the salt and pepper noise into the process of constructing the two-dimensional histogram. To further improve the performance of the algorithm, an improved version of particle swarm optimization with increasing inertia weight was employed. Several experiments show the algorithm is effective.

Key words: Two-dimensional histogram, Image thresholding, Two-dimensional Renyientropy, Particle swarm optimization, Increasing inertia weight

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!