摘要： 提出了一种新的基于区域熵的图像检索算法RECS，不仅利用图像的子块熵来描述图像的特性，而且依据熵信息的均值和方差将图像分割为高熵子图和低熵子图两部分。综合图像区域的颜色形状特征和分两步的图像检索过程，有效提高检索准确性的同时也节省了检索时间。实验结果表明，RECS算法对前景单一和前景复杂图像的检索效果同样令人满意。

关键词: 图像检索, 图像信息熵, 特征提取

Abstract: This paper proposes a novel algorithm for image retrieval based on region entropy, which divides an image into higher and lower entropy regions and extracts the color and shape features with each type of regions. The retrieval procedure consists of two steps: first, a simple retrieval algorithm in terms of entropy feature is applied to all the images in the database, and secondly, only the results of the previous retrieval are searched. Experimental results show that the proposed method has sound and robust retrieval performance to the images with simple foreground or complex foreground.

Key words: Image retrieval, PIM-picture information measure, Feature extraction

中图分类号: 

• TP391