NDLI: Heat diffusion embedded level set evolution for infrared image segmentation

Content Provider	IET Digital Library
Author	Wei, Ziwei Qiao, Yulong Lu, Xiao
Abstract	In this study, the authors present a novel level set method for infrared image segmentation. Local region-based models can fit intensity inhomogeneity partly but they are sensitive to local window scale. To deal with it, they embed an heat diffusion process in conventional level set evolution and convert heat to a part of data term in level set energy function. Besides, bias field model can extract the local intensity clustering property of the image. Therefore, the proposed method can deal with the interference of intensity inhomogeneity and complex background if appropriate seeded pixels are selected. Finally, the energy functional is minimised by a combinatorial optimal algorithm in a graph model to get a global optimal solution and accelerate the level set evolution implementation. The experiments show that the proposed method is robust to parameter setting, noise, and initial contour position. The comparisons on a large quantity of infrared image datasets with standard level set methods also demonstrate the efficiency of the proposed method.
Starting Page	267
Ending Page	278
Page Count	12
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 2, Feb (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.6629
Journal	IET Image Processing
Publisher Date	2019-10-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Appropriate Seeded Pixel Bias Field Model Combinatorial Optimal Algorithm Computer Vision And Image Processing Technique Data Term Energy Function Graph Model Heat Diffusion Process Image Segmentation Infrared Image Datasets Infrared Image Segmentation Infrared Imaging Intensity Inhomogeneity Level Set Evolution Implementation Local Intensity Clustering Property Local Region-based Model Local Window Scale Minimisation Optical, Image And Video Signal Processing Optimisation Technique Standard Level Set Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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