Dynamic Random Walk for Superpixel Segmentation

In this paper, we propose a novel random walk model, called Dynamic Random Walk (DRW), which adds a new type of dynamic node to the original RW model and reduces redundant calculation by limiting the walk range. To solve the seed-lacking problem of the proposed DRW, we redefine the energy function o...

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Bibliographic Details

Published in:	IEEE transactions on image processing Vol. 29; pp. 3871 - 3884
Main Authors:	Kang, Xuejing, Zhu, Lei, Ming, Anlong
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Clustering algorithms Computational modeling Entropy Erbium Image segmentation Iterative methods Random walk Random walk theory Segmentation Shape superpixel segmentation Task analysis weighted random walk entropy
ISSN:	1057-7149, 1941-0042, 1941-0042
Online Access:	Get full text
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