摘要
遗传算法是一种基于生物选择与遗传机制所形成的一种全局优化、随机搜索算法,对处理一些传统搜索算法解决有难度的复杂问题比较适合,具有巨大发展潜力。论文首先介绍了遗传算法的基本原理以及它的主要特点和性质,重点叙述了基于遗传算法的图像分割方法,并通过应用遗传算法选取合适的阈值,进而采用最大熵原则对人体肝脏CT图像进行了分割算法处理,得到图像分割处理的实验结果,并对实验结果进行了分析。
Genetic Algorithm（GA） is a global optimization and random search algorithm based on natural selection and genetic mechanism.It is suited to dealing with the tradition searching algorithms which cannot solve difficult and complicated problem.And it have great potentialities.First,this paper discusses fundamental principle and primary features of Genetic Algorithm.And it emphases on image segmentation based on GA.Then applying genetic algorithm to select the proper threshold,and it uses maximum entropy method to process liver CT images by segmentation methods.It obtains the results by segmentation experimentation and analyses the results.
作者
孔晓荣
史延新
刘鹏
KONG Xiao-rong,SHI Yan-xin,LIU Peng（1.Department of Computer Technology,Inner Mongolia Medical College,Huhhot 010059;2.Department of Mathematics and Physics,Xi＇an Technology University,Xi＇an 710032,China）
出处
《电脑知识与技术》
2011年第2期864-865,共2页
Computer Knowledge and Technology
关键词
遗传算法
肝脏CT图像
图像分割
阈值
genetic algorithm
liver CT images
image segmentation
threshold value
