基于纹理-形状特征的图像检索技术

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,获得纹理和形状的综合特征,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形状特征的图像检索具有很好的效果。

Image Retrieval Technique Based on Grain-shape Features

The Application fields of the image database is becoming more and more widely.How to retrieval image with effective result becomes a significant research field.Traditional image retrieval methods are mainly dependent on the sin-gle vision features such as color texture shape and so on.So its retrieval result always not ideally.To cure this problem,propose a new image retrieval method which based on wavelet transform.Get the texture features and shape features,nor-malize the combined features and use it as the standard of image's similarity metric.The test demonstrates that image retrieval based on combine of grain feature and shape feature has a very good retrieval effect.