基于二值信息的颜色和形状特征的图像检索

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、形状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、全局色和形状特征的方法,并由此特征构造两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形状基本特征进行相似度计算,为进一步提高图像检索的质量引入相关反馈机制,提出了一种动态调整两幅图像相似度中颜色特征和形状特征的权值系数的方法.文中方法与其它方法进行了比较实验,结果表明,该方法优于其它方法.

Image Retrieval Based on Color and Shape Features

In this paper,a new method of content-based image retrieval is presented,which integrates color and shape features. To improve image retrieval speed and accuracy,a new method is presented to represent the mayor color,global color and shape feature of image using binary information feature ,and with these binary information two filters are constructed to filter irrelevant images from image database. At last ,similar measure is based on improved color histogram and shape feature. In order to improve retrieval performance,a relevance feedback mechanism is introduced. This feedback enhances the retrieval effectiveness by dynamically modulating the weights of color-shape information. Experiments show that the proposed system is not only efficient but also effective.