Image significance object detection method based on multiscale low-rank decomposition and with sensitive structural information
A low-rank decomposition and structural information technology, applied in image enhancement, image analysis, image data processing, etc.
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[0032] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0033] figure 1 The overall processing flow of the image salient object detection method based on multi-scale low-rank decomposition and sensitive to the result information is given.
[0034] This paper invents an image salient object detection method based on multi-scale low-rank decomposition and sensitive to the result information. The main steps are as follows:
[0035] 1. Formation of 3D volume data
[0036] (1) Superpixel decomposition
[0037] This method first decomposes the original two-dimensional image into a superpixel map with superpixels as the smallest unit through SLIC superpixel decomposition. The SLIC superpixel decomposition parameter sigma_s is set to 60, and sigma_r is set to 0.01. The superpixel decomposition results are as follows: attached figure 2 (b) shown.
[0038] (2) Delaunay triangulation
[0039] Based on t...
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