基于颜色和纹理特征过滤的图像检索  

Image Retrieval for Filtering Based on Color and Texture Features

作　　者：李清波[1] 高守平[1] 欧阳军林[2] 

机构地区：[1]湘南学院,湖南郴州423000 [2]湖南科技大学,湖南湘潭411201

出　　处：《湖南工业大学学报》2008年第3期82-86,共5页Journal of Hunan University of Technology

摘　　要：由于单一特征不足以准确地描述图像,提出了一种结合颜色、纹理特征的图像检索方法。提出了新的用二值信息来表示图像的主色、全局色和纹理特征的方法,并由此特征构造2个过滤器,快速地过滤图像库中明显不相同的图像,以提高检索速度;采用改进的颜色直方图和新的旋转复合小波纹理特征进行相似度计算,为进一步提高图像检索质量,引入了将半监督学习和主动学习相结合的相关反馈方法。实验结果表明该方法优于其它方法。A new method of content-based image retrieval which integrates color and texture features is presented. In order to improve image retrieval speed and accuracy, a new method is presented to show the mayor color, global color and texture feature of image using binary information feature, and two filters with these binary information are constructed to filter irrelevant images from image database, Then, similar measure is based on improved color histogram and new rotation complex wavelet feature. In order to improve retrieval performance, a relevance feedback mechanism is introduced. This feedback enhances the retrieval effectiveness by combining semi-supervised and active learning. Experiments show that the proposed system is not only superior to other methods but also effective,

关 键 词：颜色直方图 相关反馈 图像检索 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]