Image segmentation based on anisotropic diffusion and graph cuts optimisation-Reference-Cited by-同舟云学术

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Image segmentation based on anisotropic diffusion and graph cuts optimisation

Published:2014-12 Issue:25 Volume:50 Page:1923-1925
ISSN:0013-5194
Container-title:Electronics Letters
language:en
Short-container-title:Electron. lett.

Author:

Liu Liman¹,Li Kunqian²,Tao Wenbing²,Liu Haihua¹

Affiliation:

1. School of Biomedical EngineeringSouth‐Central University for NationalitiesWuhan430074People's Republic of China

2. School of Automation and National Key Laboratory of Science and Technology on Multi‐spectral Information ProcessingHuazhong University of Science and TechnologyWuhan430074People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2014.3161

Reference9 articles.

1. Color image segmentation: advances and prospects

2. Image segmentation by data-driven markov chain monte carlo

3. Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods

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1. A weighted edge-based level set method based on multi-local statistical information for noisy image segmentation;Journal of Visual Communication and Image Representation;2019-02

2. Iterative image segmentation with feature driven heuristic four-color labeling;Pattern Recognition;2018-04

3. Unsupervised segmentation of natural images based on statistical modeling;Neurocomputing;2017-08

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