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一种改进的模糊熵红外图像分割方法
  • ISSN号：1001-5078
  • 期刊名称：激光与红外
  • 时间：0
  • 页码：321-323
  • 语言：中文
  • 分类：TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]燕山大学电气工程学院,河北秦皇岛066004
  • 相关基金：国家杰出青年基金（No.60525303）;河北省教育厅基金（No,2002209）资助项目.
  • 相关项目：控制系统的分析和综合
作者： 唐英干|关新平|刘冬|
关键词： 红外图像, 图像分割, 模糊熵, 模糊隶属度函数, infrared image, image segmentation, fuzzy entropy, fuzzy membership function
中文摘要：

提出了一种改进的模糊熵图像分割算法，该算法定义了一种新的模糊隶属度函数，该模糊隶属度函数只包含一个参数，即所要寻找的最优分割闻值，采用简单的穷举法便可得到最优分割阈值。实验结果表明，此方法的分割效果与传统的模糊熵方法效果相当，但计算时间大大减少，使得分割更加快速。

英文摘要：

An improved image segmentation method based on maximum fuzzy entropy is proposed in this paper, and the proposed method defines a new fuzzy membership function. This function contains only one parameter, i.e. the threshold to he found. The simple exhaust searching method is used to obtain the optimal threshold. Experimental results show that the segmentation results are as good as conventional fuzzy entropy method, but computation time decreases remarkably, and segmentation is very fast.

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控制系统的分析和综合
期刊论文 117 会议论文 32 获奖 2 专利 5 著作 2
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期刊信息
  • 《激光与红外》
  • 北大核心期刊（2011版）
  • 主管单位:中华人民共和国信息产业部
  • 主办单位:华北光电技术研究所
  • 主编：周寿桓
  • 地址：北京市朝阳区三仙桥路4号11所院内
  • 邮编：100015
  • 邮箱：jgyhw@ncrieo.com.cn
  • 电话：010-84321137 84321138
  • 国际标准刊号：ISSN：1001-5078
  • 国内统一刊号：ISSN：11-2436/TN
  • 邮发代号:2-312
  • 获奖情况:
  • 无线电子学、电信技术核心期刊,1991年首届全国优秀国防科技期刊二等奖,1991年全国光学期刊二等奖,2007-2008年，获工业和信息化部“电子科技期刊学...,2009-2010年获工业和信息化部“优秀期刊奖”
  • 国内外数据库收录:
  • 美国化学文摘（网络版）,荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:11856