基于遗传算法的最佳直方图熵图像分割算法研究  

The Algorithm of Image Segmentation for Best Histogram Entropy Based on Genetic Algorithm

作　　者：扶晓[1] 刘劲[1] 赵蕾[1] 

机构地区：[1]空军航空大学计算机教研室,长春130022

出　　处：《电脑编程技巧与维护》2011年第18期101-101,103,共2页Computer Programming Skills & Maintenance

摘　　要：图像分割是图像处理的一个重要领域。阈值法是一种最简单、最基本的图像分割方法。确定最佳阈值是阈值分割法的关键,利用遗传算法的特点来快速准确地确定灰度图像直方图熵的最佳分割阈值,实现图像分割。通过仿真试验验证,分割效果明显,该算法具有很好的应用前景。Image segmentation is an important area of image processing.Thresheld method is the simplest and most basic image segmentation. Determine the best threshold is the key of threshold segmentation method. In this paper, genetic algorithm optimization of the characteristics of the fast and easy to fall into local optimum quickly and accurately determine the charac- teristics of gray-scale image histogram entropy threshold to achieve the best segmentation image segmentation. Verified by simulation, Prove that the technology has the very good application prospects.

关 键 词：遗传算法 直方图熵 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]