摘要
根据二维图像阈值分割和ITPSO的理论,提出2D-FPSA。2D-FPSA适用于任何形式的二维图像信息。与传统的二维算法不同,该算法不需要准则函数,通过一个自由运动的粒子群得到最优阈值。实验结果表明,2D-FPSA是稳定、快速和有效的二维图像阈值分割算法。其分割结果优于ITSPO。
A two dimensional free particle swarm algorithm for image thresholding, 2D-FPSA, is proposed based on ITPSO [1]. 2D-FPSA can process any two-dimension information of an image. Unlike traditional thresholding methods, 2D-FPSA finds the optimal thresholding by a freely moving particle swarm without a criterion function. Experimental results show that the 2D-FPSA is a fast, stable and effective method for image thresholding, and its thresholding results are better than ITPSO.
出处
《科技通报》
北大核心
2012年第4期147-149,共3页
Bulletin of Science and Technology
基金
国家质检总局科技计划项目(GDQTS-2010QK094)
关键词
阈值分割
图像分割
粒子群算法
二维直方图
image thresholding
image segmentation
genetic algorithm
two-dimensional histogram
