基于分层遗传算法的双阈值图像分割  

Double Threshold Image Segmentation Based on Two-layer Genetic Algorithm

作　　者：张春丽[1] 

机构地区：[1]长沙理工大学计算机与通信工程学院,长沙410076

出　　处：《微计算机应用》2008年第1期91-95,共5页Microcomputer Applications

摘　　要：图像分割是图像处理中的重要问题,通常的图像分割法包括阈值法、边缘检测法、区域跟踪法等。其中,阈值法是一种通用的方法。本文将分层遗传算法用于阈值的选取,仿真结果表明,在设定了合适的遗传算子后,该算法可以实现正确的图像分割,将分层遗传算法用于图像处理中,是非常有效的。Image segmentation is an important problem of image processing.In generally,the methods of image segmentation include threshold value,brim detection,areal tracing and so on.In these methods,threshold is a universal method.In the article,double-population genetic algorithm is applied to the selection of the threshold.The result of the emulation indicates that genetic algorithm can fulfill proper image segmentation when a genetic operator is suitably set.The application of two-layer genetic algorithm is very efficient in the image processing.

关 键 词：图像分割 阈值 分层遗传算法 最佳熵 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]