鲁棒的二维Renyi熵图像阈值分割快速算法

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

二维Renyi熵阈值分割算法是经典的图像阈值分割方法,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滤波技术,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,分析了阈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。

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.This 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.