【作者】 张艳；

【导师】 杨连贺；

【作者基本信息】 天津工业大学 ， 模式识别与智能系统， 2006， 硕士

【摘要】 随着多媒体技术、网络技术的迅速发展,图像信息的应用日益广泛,对规模越来越大的图像数据库、可视信息进行有效的管理成为迫切需要解决的问题。基于内容的图像检索技术是解决这一问题的关键技术之一。本文讨论了该技术的基本概念、方法、已取得的成果及今后的一些主要研究方向。 基于内容的图像检索(CBIR)是指在数据库中找出满足某一特定的视觉特征描述的图像的过程。CBIR系统的核心是表征图像内容的特征,它的基本思想是通过分析图像的视觉特征和上下文联系来进行检索。 本文利用一种新的图像特征描述子进行基于内容的图像检索,该描述子不仅实现了对图像颜色和形状内容的综合概括,而且具有平移、旋转和尺度不变性。另外为提高了图像的检索速度,采用K均值聚类索引建立数据库。模糊聚类分析是模糊模式识别范畴中的一个重要分支,是一种无监督的模式识别方法,在许多领域被广泛地应用。本文给出了模糊聚类算法在图像分割中的应用结果。更多还原

【Abstract】 With the development of the technology of multimedia and internet, visual information is used more widely. As a result, effective methods of managing image databases and visual information are needed. As a key technique, Content-Based Image Retrieval(CBIR) has become one of the most active research areas in the past few years. This paper discusses the conception and methods of CBIR. Some future research trends are proposed also.CBIR is a process to search a certain image from the database by using some given visual characters. The key to implement the technique of CBIR is to extract features which present the content of image. So how to utilize the image process knowledge and visual technology to accomplish the management and retrieval of large image data with computers becomes a research focus.In the paper, a new image signature is computed for CBIR. The signature provides a compact description of all image aspects, including color and shape. Also the signature is invariant to 2D rigid transformation, such as rotation, scaling and translation. To improve the speed of image search, K-means Clustering is used to create the image database. Fuzzy clustering analysis is an important branch of fuzzy pattern recognition, it is an unsupervised pattern recognition method, and was widely used in many fields. In this paper, the application of suppressed fuzzy clustering algorithm in image segmentation is introduced.更多还原