模糊检索 meaning in Chinese
fuzzy matching
Examples
- In the dissertation , content - based image retrieval methods are studied based on information theory and fuzzy set theory , and several techniques , information entropy - based image retrieval , similarity measurement of image entropy , fuzzy index , dynamic relevant feedback are presented
本文将信息论和模糊集理论运用于基于内容图象检索方法的研究，重点研究了基于信息熵的图象检索技术、图象相似性度量方法、模糊检索和动态相关反馈机制。 - 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。