基于二维Renyi熵与自适应人工鱼群算法的红外图像分割  

Infrared Image Segmentation Based on AAFSA and 2D-Renyi Entropy Threshold Selection

作　　者：李晓峰 方龙 

机构地区：[1]装甲兵学院,蚌埠233050

出　　处：《舰船电子工程》2016年第7期109-113,共5页Ship Electronic Engineering

摘　　要：针对基于分解的二维renyi熵阈值分割算法中参数α的取值问题,根据均匀性测度评价指标,利用自适应人工鱼群搜索方法,提出一种α参数自适应选取方法。实验结果表明,本文所提出算法,针对不同红外图像均可以获得理想的图像分割效果,具有良好的通用性。同时还可以将算法计算复杂度由O(L6)降为O(L2)。To select optimal parameter a in decomposed 2D-renyi entropy image threshold segmentation method,a new adaptive method according to the uniformity measure which is an image segmentation evaluation criteria is proposed based on adaptive artificial fish-swarm algorithm.Experiment results show that the method can get desired segmentation result for each image.The algorithm is of universality and can also reduce the computational complexity from O（L6）to O（L2）.

关 键 词：红外图像 分割 Renyi灰度熵 自适应人工鱼群算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]