| 1. | A region - based image retrieval with fuzzy features method
一种基于区域模糊特征的图像检索方法 |
| 2. | Region - based image retrieval with fuzzy features , rbirff
提出一种新的基于区域模糊特征的图像检索方法 |
| 3. | Infrared target recognition method based on invariant fuzzy feature fusion
基于不变性模糊特征融合的红外目标识别方法 |
| 4. | According to stroke distributing characterisitic and topologic correlation of chinese characters , we present a new method based on elastic mesh and related fuzzy feature
根据汉字笔画分布特点及拓扑结构的相关性，提出了一种新的基于弹性网格及其相关模糊特征的提取方法。 |
| 5. | These three classifiers are a linear classifier based on fuzzy features , a hierarchy classifier based on features of geometry definitions and a distance classifier based on frequency features of stroke curvature
使用的分类器分别为基于模糊特征的线性分类器、使用几何定义特征的分层分类器以及基于曲度频域特征的距离分类器。 |
| 6. | By studying the algorithms of data - mining technology and taking full consideration of the fuzzy feature in the process of data - mining , it makes the classic mining technology fuzzy in order to show the inexactness and the ambiguity of things in the real world
本文通过对数据挖掘技术方法的研究，并充分考虑挖掘过程中模糊性，对经典的挖掘技术加以模糊处理，体现了现实世界中事物特性的不确定性和模糊性。 |
| 7. | A fuzzy image data model and a concept of fuzzy space are proposed , in which model visual feature , spatial feature and semantic feature are used for super feature in order to utilize advantage of traditional relation database as well as characteristics of image data and fuzzy retrieval . based fuzzy space , a method of similarity measurement of image is presented to support fuzzy features - based image retrieval and satisfy user ' s query requirement for image . in the thesis , a semantic template and the mechanism of dynamic relevant feedback are defined so that it can express user ' s query semantic and improve retrieval precision and useable capability for image retrieval
研究了模糊检索方法和相关反馈机制在图象检索中的应用，提出了一种模糊图象数据模型和模糊空间的概念，该模型将可视特征、空间特征、语义特征看作超属性，既充分利用了传统关系数据库的优点，同时又考虑了图象数据以及模糊查询的特点，文中提出的模糊空间和模糊相似性度量方法能支持基于模糊特征的图象查询，较好地体现用户图象查询的应用需求，文中定义的语义模板和相关反馈机制能在一定程度上表达用户的查询语义，提高图象检索的准确率和易用性。 |
