关键词: 明显区域块, 图像检索, 环形分割算法

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