基于内容的图像检索方法及其实验系统设计

【作者】 顾燕；

【导师】 徐立中；

【作者基本信息】 河海大学 ， 控制理论与控制工程， 2002， 硕士

【摘要】 基于内容的图像检索（CBIR）是当前计算机视觉、图像数据库与知识挖掘等领域研究的热点之一。本论文论述了目前国内外基于内容图像检索领域的现状和发展趋势，研究了主要的技术方法，并对图像内容特征的提取方法作出了详细的分析和具体实现。作者针对具体的图像数据库，设计了一个实际的图像检索系统，并做了如下的研究工作： 本文对模糊理论在图像检索中的应用进行了初步的研究，实现了一种基于图像的模糊颜色直方图的检索方法，并针对实验结果进行了分析和讨论。 本文详细分析了基于颜色特征的图像检索方法，并针对特定的图像特点，提出了两种改进的基于图像中目标对象的颜色特征的检索方法。通过与普通颜色方法的比较，证明了其在检索效率上的提高。另外，还给出了一种利用颜色和纹理的综合特征的检索方法，与采用单一特征检索进行了比较。 本文重点研究了相关反馈机制在图像检索中的应用，给出了一种基于用户反馈的交互式图像检索方法。并通过大量的实验，证明了该方法能大大提高图像检索的效率。更多还原

【Abstract】 Content-Based Image Retrieval (CBIR) has been one of most active researches in computer vision, image database, knowledge discovery and so on. The present and the future of CBIR and the key issues are discussed in this thesis, and some methods of extracting image content are analyzed detailedly. An actual CBIR system is designed aiming at concrete image database and some researches of CBIR are introduced as follows:Firstly, the application of fuzzy theory in CBIR is researched elementarily, a method based on fuzzy color histogram of the image is carried out, and some analysis and discussion are done about the experiment results.Secondly, the retrieval method based on color feature is analyzed detailedly, and two improved methods based on the object in the image are presented. By comparing with general color method, the improvement of retrieval efficiency is proved. A method using combined color and texture features is also given and compared with which using single feature.Thirdly, an emphasized research is focused on the appliance of relevance feedback in CBIR, and an improved method based on the relevance of the users is given. With plentiful experiments it is proved that the retrieval efficiency can be enhanced greatly by using this method.更多还原