基于纹理和高斯密度特征的图像检索算法

直接从DCT域中提取图像的特征是提高图像的检索效率的方法.直接从压缩域中提取图像的高斯密度,即计算图像在8个方向上的分段累加值,形成一个8*4的二维向量,再结合图像的纹理特征来进行图像检索.为了验证算法的可行性,建立了10000幅图像的图像库.实验结果表明,该方法能够准确地检索出目标图像,有效地提高了图像检索的精度和速度.

Image retrieval algorithm based on texture and Gaussian density feature

To improve efficiency of the image retrieval,the techniques of the direct feature extraction in DCT domain are extensively emphasized.A new algorithm for compressed image retrieval is proposed based on Gaussian density feature(GDF).This algorithm directly extract Gaussian density of 8 direction from compressed image data to construct a 2-dimention array(8*4) as an indexing key to retrieve images based on their content features and texture feature.To test and evaluate the proposed algorithms,experiments with...