Color image segmentation based on mean shift and normalized cuts

W Tao, H Jin, Y Zhang - … Systems, Man, and Cybernetics, Part B …, 2007 - ieeexplore.ieee.org
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 processing. It preprocesses an image by using the MS algorithm to form
segmented regions that preserve the desirable discontinuity characteristics of the image …

[PDF][PDF] Color Image Segmentation Based on Mean Shift and Normalized Cuts

A Patel, K Umaria - ijiset.com
Image segmentation is a process of dividing an image into different regions such that each
region is nearly homogeneous. In this correspondence, we can 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) methods. It
requires low computational complexity and is therefore very feasible for real-time image
segmentation processing. It preprocesses an image by using the MS algorithm to form …
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