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量子遗传算法在指纹图像分割中的应用
引用本文:宋娟,范承志,全惠云. 量子遗传算法在指纹图像分割中的应用[J]. 计算机应用与软件, 2007, 24(12): 171-173
作者姓名:宋娟  范承志  全惠云
作者单位:湖南师范大学数学与计算机学院,湖南,长沙,410081;湖南师范大学数学与计算机学院,湖南,长沙,410081;湖南师范大学数学与计算机学院,湖南,长沙,410081
摘    要:提出了一种基于量子遗传算法(QGA)的指纹图像分割改进方法.这种方法利用量子遗传算法种群多样性好,收敛速度快的特点,将基于量子遗传算法的阈值分割方法与方向图法相结合对指纹图像进行分割.实验结果表明,QGA在指纹图像阈值分割中的速度和精度优于改进的自适应遗传算法和其它一些传统算法,是一种有效的图像分割方法.

关 键 词:指纹图像  方向图法  量子遗传算法  图像分割
修稿时间:2005-12-27

QUANTUM-INSPIRED GENETIC ALGORITHM AND ITS APPLICATION TO FINGERPRINT IMAGE SEGMENTATION
Song Juan,Fan Chengzhi,Quan Huiyun. QUANTUM-INSPIRED GENETIC ALGORITHM AND ITS APPLICATION TO FINGERPRINT IMAGE SEGMENTATION[J]. Computer Applications and Software, 2007, 24(12): 171-173
Authors:Song Juan  Fan Chengzhi  Quan Huiyun
Abstract:An improved method of fingerprint image segmentation based on Quantum-inspried Genetic Algorithm(QGA)is proposed.This method has good ability of global optimization,diversity and good convergence speed,and fingerprint segmentation efficient.The segmentation algorithm of fingerprint images based on the quantum genetic algorithm and directional image method is presented.Results of experiments show that the proposed algorithm performs better in convergence speed and segmentation than GA,and it is an efficient method for image segmentation.
Keywords:Fingerprint image Directional image method Quantum-inspired genetic algorithm Image segmentation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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