Abstract: In content-based image retrieval, the representation of local properties  in an image is one of the most active research issues. This paper  proposes a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designed. It not only takes local image features into account, but also the spatial distribution information of the salient regions. Color moments and Gabor features  around the salient regions in every annular region are computed as  feature vectors used for indexing the image. The proposed scheme is tested using a wide range of image samples from the Corel Image Library for content-based image retrieval. The experiments indicate that the method is available.

Key words: salient region, image retrieval, annular segmentation algorithm

摘要： 基于小波变换理论提出了一种明显区域块检测方法，改进了环型分割算法，使对视觉有意义的区域特征提取更加快捷、方便。该算法不仅考虑到区域内的图像特征，而且还考虑到明显区域块的空间分布信息，把环型区域的颜色矩和在明显区域块附近的Gabor特点，作为索引图像的特征向量。使用Corel图像库测试了提出的方法。实验表明，该方法切实可行。

关键词: 明显区域块, 图像检索, 环形分割算法