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| 一种基于相容粒度空间的图像分割方法 | |
| 引用本文： | 谢刚 盛彬 王芳. 一种基于相容粒度空间的图像分割方法[J]. 控制与决策, 2013, 28(2): 317-320 |
| 作者姓名： | 谢刚 盛彬 王芳 |
| 作者单位： | 太原理工大学信息工程学院,太原030024 |
| 基金项目： | 山西省留学回国人员基金项目(2009-31);太原市科技项目人才专项基金项目(120247-28) |
| 摘 要： | 定义归一化邻域方差,选取它和像素灰度值、邻域均值作为图像相容粒度空间的条件属性,构造出基于条件属性的相容粒度空间.根据相容关系进行图像粒化,定义相容决策粒间距离测度函数,利用思维进化算法(MEA)最优选取阈值,合成决策粒,实现对目标区域的提取,完成图像分割.实验结果表明所提出算法去噪效果明显,具有较好的稳定性和收敛速度. |
| 关 键 词： | 归一化邻域方差 相容粒度空间 图像分割 思维进化算法 |
| 收稿时间： | 2011-07-12 |
| 修稿时间： | 2011-12-28 |
An image segmentation method based on tolerance granular space |
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| XIE Gang,SHENG Bin,WANG Fang. An image segmentation method based on tolerance granular space[J]. Control and Decision, 2013, 28(2): 317-320 | |
| Authors: | XIE Gang SHENG Bin WANG Fang |
| Affiliation: | (College of Information Engineering,Taiyuan University of Technology,Taiyuan 030024,China.) |
| Abstract: | the condition attributes of image granular space. A tolerance granular space of images is constructed by condition attributes. The images are granulated by using tolerance relations. A tolerance granular distance measure function is defined. Mind evolutionary algorithm(MEA) is used to optimize the thresholds, then decision granules are synthesized. Finally, target regions are extracted and image segmentations are completed. The experimental results show that the proposed algorithm has better denoise effects, strong stability and rapid convergence velocity. |
| Keywords: | normalized neighborhood variance tolerance granule space image segmentation mind evolutionary algorithm |
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