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快速、准确的图像阈值分割新方法
引用本文:张璟,郭春秋,聂雪,李维敏.快速、准确的图像阈值分割新方法[J].西安文理学院学报,2006,9(3):54-58.
作者姓名:张璟  郭春秋  聂雪  李维敏
作者单位:西安文理学院计算机科学系 陕西西安710065(张璟),中国人民解放军75206部队 广东惠州516229(郭春秋,聂雪),西安铁路职业技术学院电子信息系 陕西西安710014(李维敏)
摘    要:图像分割是数字图像处理系统中基本而关键的技术.通过阈值分割是其最简单的技术,它假设目标和背景是可以分离的.详细讨论将自适应遗传算法与OTSU算法相结合应用于最佳阈值的确定中,提出了相应的算法并用于图像分割,由于自适应遗传算法具有全局搜索最优解能力,因此能在很短时间内自动确定阈值.实验仿真结果表明,该方法不仅可以实现准确的图像分割,并且使得分割速度大大提高.

关 键 词:自适应遗传算法  OTSU算法  图像阈值分割
文章编号:1008-5564(2006)03-0054-05
收稿时间:2006-05-08
修稿时间:2006年5月8日

An Effective and Accurate Method of The Image Threshold Segmentation
ZHANG Jing,GUO Chun-qiu,NIE Xue,LI Wei-min.An Effective and Accurate Method of The Image Threshold Segmentation[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2006,9(3):54-58.
Authors:ZHANG Jing  GUO Chun-qiu  NIE Xue  LI Wei-min
Abstract:Image segmentation is a basic and important technique in the digital image processing system.Image threshold segmentation is the simplest technique,based on the assumption that the object is separable from its background.The application of the adaptive genetic algorithm(GA) and the OTSU algorithm into deciding the best threshold value was discussed in detail.The corresponding approach was presented in the use of image segmentation.Because the adaptive genetic algorithm(GA) has the superior solution ability,it can automatically decide the threshold value in the shortest possible time.The experimental results show that this method can not only realize the accurate image segmentation,but also greatly improve its speed.
Keywords:Adaptive Genetic Algorithm  OTSU Algorithm  image threshold segmentation
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