Low-Rank Subspace Learning of Multikernel Based on Weighted Truncated Nuclear Norm for Image Segmentation
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DOI: 10.1109/access.2022.3183901
Abstract: Previous natural image segmentation algorithms through subspace learning method have over-segmentation issues in the pre-segmentation process, which will compromise the edge information, and the subspace learning model cannot effectively utilize the nonlinear structure in the… read more here.
Keywords: norm image; subspace learning; image segmentation; segmentation ... See more keywords