【摘要】 特征提取是基于内容的图像检索的关键步骤,仅基于一种特征的方法只能表达图像的部分属性。由于对图像内容的描述比较片面,缺乏足够的分辨能力,在图像有较大变化的场合常不能取得理想的检索效果。提出了一种基于图像颜色和纹理的图像检索方法,颜色特征采用颜色矩,纹理特征采用小波多尺度高频子带的方差特征。采用组合特征进行图像检索,选择MPEG推荐的ANMRR方法对两种特征间的权值分配进行分析。实验表明,该方法具有很好的检索性能。更多还原

【Abstract】 Feature extraction is one of the key steps in content-based image retrieval,but one feature based approach expresses only partial attributes of an image,which unilaterally describes the image content and is short of enough resolving power.This approach may not achieve ideal result in the case of images varying greatly.An approach was proposed based on image color and texture features,wherein color moments is the color feature and the variances of the multi-scale high frequency sub-bands of wavelet domain.In experiment section,the presented method was compared to the traditional histogram and color moments methods.Combining the two features for image retrieval,we analysed the weight distribution between the two features by using ANMRR evaluation method which MPEG-7 recommends.The experiment shows that the approach has good retrieval performance.更多还原