基于纹理-空间关系的图像检索技术

Image Retrieval Technique Based on Texture-Spatial Relationship Features

图像数据库应用日益广泛,如何高效、准确地进行图像的检索成为一项重要的研究领域。传统的图像检索主要依赖颜色、纹理、形状、空间关系等单一视觉特征,检索效果往往不够理想。针对这一实际问题,提出一种新的图像检索方法,通过对图像进行小波变换,获得纹理和空间关系的综合特征,对综合特征进行归一化处理,并将其作为图像相似性的衡量依据。实验证明基于纹理和空间关系综合特征的图像检索具有很好的效果。

The Application fields of the image database is becoming more and more wide spread.How to retrieve image with effective result becomes a significant research field.Traditional image retrieval methods is mainly dependent on the single vision features such as color texture shape and so on.So its retrieval result is not always ideal.To cure this problem,this paper proposes a new image retrieval method which is based on wavelet transform.The features of texture and spatial relationship are gotten.The combined features are normalized and it is used as the standard of image's similarity metric.The test demonstrates that image retrieval based on combination of grain feature and spatial relationship has a very good retrieval effect.