[1]王建,张建伟,陈仲恒.一种基于均值漂移和遗传算法的图像分割算法[J].计算机技术与发展,2014,24(04):33-36.
　WANG Jian,ZHANG Jian-wei,CHEN Zhong-heng.An Image Segmentation Algorithm Based on Mean Shift and Genetic Algorithm[J].,2014,24(04):33-36.
点击复制

一种基于均值漂移和遗传算法的图像分割算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年04期
页码:
33-36
栏目:
智能、算法、系统工程
出版日期:
2014-04-30

文章信息/Info

Title:
An Image Segmentation Algorithm Based on Mean Shift and Genetic Algorithm
文章编号:
1673-629X（2014）04-0033-04
作者:
王建; 张建伟; 陈仲恒
四川大学 国家空管自动化系统技术重点实验室
Author(s):
WANG Jian；ZHANG Jian-wei；CHEN Zhong-heng
关键词:
均值漂移; 遗传算法; 图像分割; 最大熵
Keywords:
mean shift; genetic algorithm; image segmentation; maximum entropy
分类号:
TP301.6
文献标志码:
A
摘要:
均值漂移算法在图像分割中有着重要的应用，考虑到图像的噪声和边缘保持等因素，提出了一种基于均值漂移的图像平滑和利用遗传算法取得直方图最大熵的图像分割算法。首先利用均值漂移算法对图像进行平滑处理，然后对平滑后的图像通过遗传算法获得在直方图最大熵时的分割阈值，均值漂移平滑后的图像不仅能很好地保持图像的边缘特征，还能有效地去除噪声，而利用遗传算法可以比较快速和准确地取得分割阈值。实验得出，文中算法能够取得较好的分割效果。
Abstract:
Mean shift algorithm has important applications in image segmentation,taking into account the image noise and other factors such as edge retention,present an image segmentation method based on mean shift to smooth image and genetic algorithm to obtain the histogram maximum entropy. Firstly smooth image with mean shift algorithm,then obtain the segmentation threshold under the condition of maximum entropy of the histogram through genetic algorithm based on smoothed image,the smoothed image after mean shift not only keeps the edge features,but also filters the noise effectively,applying the genetic algorithm to obtain segmentation threshold quickly and accurately. The experiment shows that the algorithm can get better segmentation effect.

相似文献/References:

[1]冯智明,苏一丹,覃华,等.基于遗传算法的聚类与协同过滤组合推荐算法[J].计算机技术与发展,2014,24(01):35.
　FENG Zhi-ming,SU Yi-dan,QIN Hua,et al.Recommendation Algorithm of Combining Clustering with Collaborative Filtering Based on Genetic Algorithm[J].,2014,24(04):35.
[2]余晓光 严洪森 殷乾坤.基于Flexsim的车间调度优化[J].计算机技术与发展,2010,(03):44.
　YU Xiao-guang,YAN Hong-sen,YIN Qian-kun.Workshops Scheduling Optimization Based on Flexsim Simulation[J].,2010,(04):44.
[3]贺计文 宋承祥 刘弘.基于遗传算法的八数码问题的设计及实现[J].计算机技术与发展,2010,(03):105.
　HE Ji-wen,SONG Cheng-xiang,LIU Hong.Design and Implementation of Eight Puzzle Problem Based on Genetic Algorithms[J].,2010,(04):105.
[4]沈珏萍 庄亚明.基于Agent的二级供应链企业自动谈判研究[J].计算机技术与发展,2010,(03):121.
　SHEN Jue-ping,ZHUANG Ya-ming.A Research for Company Automatic Negotiation in Secondary Supply Chain Based on Agent[J].,2010,(04):121.
[5]张磊 王晓军.基于遗传算法的业务流程测试[J].计算机技术与发展,2010,(03):155.
　ZHANG Lei,WANG Xiao-jun.Test of Business Process Based on Genetic Algorithm[J].,2010,(04):155.
[6]曹道友 程家兴.基于改进的选择算子和交叉算子的遗传算法[J].计算机技术与发展,2010,(02):44.
　CAO Dao-you,CHENG Jia-xing.A Genetic Algorithm Based on Modified Selection Operator and Crossover Operator[J].,2010,(04):44.
[7]范维博 周俊 许正良.应用遗传算法求解第一类装配线平衡问题[J].计算机技术与发展,2010,(02):194.
　FAN Wei-bo,ZHOU Jun,XU Zheng-liang.Appication of Genetic Algorithm to Assembly Line Balancing[J].,2010,(04):194.
[8]熊伟平 曾碧卿.几种仿生优化算法的比较研究[J].计算机技术与发展,2010,(03):9.
　XIONG Wei-ping,ZENG Bi-qing.Studies on Some Bionic Optimization Algorithms[J].,2010,(04):9.
[9]余晓光 严洪森.基于禁忌搜索遗传混合算法的装配线平衡[J].计算机技术与发展,2010,(05):5.
　YU Xiao-guang,YAN Hong-sen.Assembly Line Balancing Based on Tabu Search and Genetic Hybrid Algorithm[J].,2010,(04):5.
[10]黄永聪 张旭[] 吴义纯 吴琦 程家兴.改进的径向基函数网络的研究及应用[J].计算机技术与发展,2010,(05):158.
　HUANG Yong-cong,ZHANG Xu,WU Yi-chun,et al.Research and Application of Improved Genetic Algorithm-Based RBFANN[J].,2010,(04):158.

更新日期/Last Update: 1900-01-01