中文摘要：

针对显著区域检测中的视觉显著性度量问题，提出了一种通过对图像的频域特征进行多尺度分析来计算显著性的方法．在多个尺度上提取图像底层特征，在频域分析各种特征图的幅度谱和相位谱，在空间域上构造相应的显著图．根据显著图，检测出图像中的显著区域．在多种自然图像和人工图像上进行实验．实验结果表明，该方法能迅速检测出与人类视觉注意结果一致的显著区域，并且在高强度噪声图像中也能取得很好的检测效果．

英文摘要：

Salient region detection is a key research field in image processing. An approach for calculating salient regions using multi-scale analysis in the frequency domain was proposed. First, low-level features of the image at different scales were extracted. By analyzing the amplitude spectra and phase spectra of feature maps in the frequency domain, a corresponding saliency map was constructed in the spatial domain. Using the saliency map, the salient regions in an image can be identified. This method was tested on both natural images and artificial images. The experimental results showed that this approach quickly extracted salient regions which were consistent with human visual perception. The method performed well even in images with a high density of noise.