Color Image Segmentation Based on Mean Shift and Normalized Cuts

Abstract

In this correspondence, we develop a novel approach that provides effective and robust segmentation of color images. By incorporating the advantages of the mean shift (MS) segmentation and the normalized cut (Ncut) partitioning methods, the proposed method requires low computational complexity and is therefore very feasible for real-time image segmentation… (More)
DOI: 10.1109/TSMCB.2007.902249

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