基于颜色和空间特征的彩色图像获取方法

本文针对基于内容的彩色图像相似性获取问题,提出了一种新的相似性获取方法,它既考虑了颜色内容特征,也包含了图像的空间关系特征.文章设计了无序矩阵来描述图像空间位置的相对关系,这种无序矩阵具有对旋转和平移不变性的特点.在进行图像间相似性测量时,首先用颜色直方图相交法对图像全局颜色分布进行相似性测量,再对得到的候选图像队列用新的算法进行测量,剔除不相似的图像.新的测量算法既考虑了颜色内容的匹配,同时也考虑了空间相似性的因素.用不同类型的图像对这种方法进行实验,其结果表明,它在彩色图像相似性检索时是很有效的,具有较高的检索精度.此外,它在图像发生小的旋转和平移等形变时,表现出较高的可靠性.

Color Image Retrieval Based on the Color and Spatial Features

A new content-based color image retrieval method is proposed,in which both the color content and the spatial relationship of image have been taken into account.In order to represent the spatial distribution information of image,a disorder matrix,which has the invariance to the rotation and translation of the image content,has been designed.During the actual matching stage,the global color histogram intersection is used firstly to generate candidate image list.Then the disorder matrix representing the spatial information of the image is employed to refine the retrieval result by deleting the dissimilar images from the candidate list.Experimental results with various types of images show that the proposed method not only achieves a high image retrieval performance but also improves the retrieval precision.Furthermore,it is robust even with some rotation and translation cases.