| 基于超模糊集的多属性图像阈值分割算法 |
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| 引用本文： | 片兆宇,高立群,吴建华,郭丽,王坤.基于超模糊集的多属性图像阈值分割算法[J].系统仿真学报,2007,19(19):4434-4439,4444. |
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| 作者姓名： | 片兆宇 高立群 吴建华 郭丽 王坤 |
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| 作者单位： | 1. 东北大学,辽宁,沈阳110004;长春工程学院,吉林,长春,130012
2. 东北大学,辽宁,沈阳110004 |
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| 摘 要： | 传统的分割方法往往是根据图像单一的属性标准对图像进行分割,很难满足图像的多方面分割要求。由于许多外界干扰因素的存在,使得基于经典模糊集方法进行的分割,结果也常常不令人满意。针对这些问题,介绍了一种基于超模糊集合理论的多属性图像阈值分割方法（F2ES）,在超模糊集的基础上,结合模糊熵和模糊相似性两种截然不同的属性刻画待分割图像,构造综合评价函数,得到最佳阈值。针对多幅不同类型图片进行分割仿真实验,得到较好的结果,证明该算法是切实可行的。
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| 关 键 词： | 图像阈值 模糊集 超模糊集 模糊熵 模糊相似性 综合评价函数 |
| 文章编号： | 1004-731X（2007）19-4434-06 |
| 收稿时间： | 2006-08-09 |
| 修稿时间： | 2006-08-092006-11-23 |
Image Thresholding and Simulation Using Multi-properties Based on Ultra-fuzzy Sets |
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| PIAN Zhao-yu,GAO Li-qun,WU Jian-hua,GUO Li,WANG Kun.Image Thresholding and Simulation Using Multi-properties Based on Ultra-fuzzy Sets[J].Journal of System Simulation,2007,19(19):4434-4439,4444. |
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| Authors: | PIAN Zhao-yu GAO Li-qun WU Jian-hua GUO Li WANG Kun |
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| Institution: | 1.Northeastern University, Shenyang 110004, China; 2. Changchun Institute of Technology, Changchun 130012, China |
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| Abstract: | Classical measures partition one image according to a single property. So,it is difficult to satisfy requests of the image thresholding. Furthermore,due to disturbing factors,the result of image thresholding based on fuzzy sets is not always satisfactory. A new thresholding using multi-properties based on ultra-fuzzy sets was proposed (F2ES),which processed optimal threshold as comprehensive assessment function constructed by fuzzy entropy and fuzzy similarity based on ultra-fuzzy sets. Experimental results and simulations conducted on various images are provided to testify the validity of the proposed algorithm. |
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| Keywords: | image threshold fuzzy sets ultra-fuzzy sets fuzzy entropy fuzzy similarity comprehensive assessment function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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