Abstract
Saliency detection is a challenging direction in the field of computer vision. To get the more accurate salient target, we propose a visual saliency detection method based on the fusion of spatial and frequency domain analysis. Firstly, the image is smoothed by a Gaussian filter and then segmented by the superpixel segmentation of SLIC. The spatial saliency map is calculated by the color distance. Secondly, the saliency map of frequency domain is obtained by hypercomplex Fourier transform. Finally, the point multiplication operation is adopted to merge the spatial and the frequency domain saliency map. Compared with the others methods, the model we proposed can well retain the complete contour, highlight the target and suppress the background.1
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