基于小波明显区域及空间分布的图像检索

Wavelet-based Salient Regions and Their Spatial Distribution for Image Retrieval

提出了一种基于小波变换的明显区域检测方法,并改进了环型分割算法,使对视觉有意义的区域和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的空间分布信息,并把环型区域的颜色矩和在明显区域附近的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。

In content-based image retrieval,the representation of local properties in an image is one of the most active research issues.A salient region detector based is proposed 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 takes not only 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 using a wide range of image samples from the Corel Image Library for content-based image retrieval is tested.The experiments indicate that the method has produced promising results.