NDLI: Image segmentation based on anisotropic diffusion and graph cuts optimisation

Content Provider	IET Digital Library
Author	Liu, Liman Li, Kunqian Tao, Wenbing Liu, Haihua
Abstract	An image segmentation approach, which is based on heat diffusion and graph cuts optimisation, is proposed. The prior segmentation result is obtained by temperature maximisation on the heat diffusion system. In the random walk-based label-assigning process, due to lack of spatial dependencies of neighbouring pixels, the segmentation may deteriorate notably when pixels from disconnected regions of an image show similar features. To overcome this problem, a multilayer graph-based model is presented and image segmentation is considered as an energy minimisation problem. The parameters in the model are learned from the results of temperature maximisation on the heat diffusion system. It is shown that the presented variational model can be discretely optimised by the graph cuts method efficiently. Therefore, the spatial dependences of the neighbouring pixels can be integrated to obtain better segmentation results. A number of comparison experiments demonstrate the superiority of the proposed method.
Starting Page	1923
Ending Page	1925
Page Count	3
ISSN	00135194
Volume Number	50
e-ISSN	1350911X
Issue Number	Issue 25, Dec (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/50/25
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3161
Journal	Electronics Letters
Publisher Date	2014-12-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Anisotropic Diffusion Combinatorial Mathematics Computer Vision And Image Processing Technique Energy Minimisation Problem Graph Cuts Optimisation Graph Theory Heat Diffusion System Image Segmentation Multilayer Graph-based Model Neighbouring Pixel Optical, Image And Video Signal Processing Optimisation Optimisation Technique Random Walk-based Label-assigning Process Spatial Dependencies Temperature Maximisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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