| 区域形状的粗集分类研究 |
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| 引用本文： | 朱振玉,马甲军. 区域形状的粗集分类研究[J]. 价值工程, 2010, 29(21): 28-29 |
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| 作者姓名： | 朱振玉 马甲军 |
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| 作者单位： | 黑龙江科技学院计算机与信息工程学院,哈尔滨,150027;黑龙江科技学院计算机与信息工程学院,哈尔滨,150027 |
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| 基金项目： | 黑龙江省教育厅科学技术研究项目 |
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| 摘 要： | 本文主要利用粗集理论针对图像分割后的区域形状进行分类研究。依据粗集理论研究离散化数据的特点,考虑类分布信息,采用信息熵理论进行连续条件属性的离散化。在此基础上,利用约简算法剔除冗余属性,获取约简属性,并进一步提取决策规则。最后选取测试样本进行实验分析,结果表明分类是有效的。
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| 关 键 词： | 区域形状 粗集 分类 信息熵 |
Classification Research of Regional Shape Based on Rough Set |
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| Zhu Zhenyu,Ma Jiajun. Classification Research of Regional Shape Based on Rough Set[J]. Value Engineering, 2010, 29(21): 28-29 |
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| Authors: | Zhu Zhenyu Ma Jiajun |
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| Affiliation: | Zhu Zhenyu; Ma Jiajun ( Heilongjiang Institute of Seienee and Technology, Computer and Information Engineering College, Harbin 150027, China ) |
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| Abstract: | The classification research of regional shape after image segmentation is brought forward in this paper based on RS theory. Data discrimination is the character of RS,considering distributed information of class,and continual condition attributes are described according to information entropy theory. On the basis of that,redundancy attributes are eliminated by RS reduction algorithm. Reduction attributes and rules are gained. Finally,the result indicates that the classification is valid through selecting test sample and analyzing the imitation experiment. |
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| Keywords: | regional shape rough set classification information entropy |
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