NDLI: Higher order PDE based model for segmenting noisy image

Content Provider	IET Digital Library
Author	Kumar, B. V. Rathish Halim, Abdul Vijayakrishna, Rowthu
Abstract	In this study, a fourth-order non-linear partial differential equation (PDE) model together with multi-well potential has been proposed for greyscale image segmentation. The multi-well potential is constructed from the histogram of the given image to make the segmentation process fully automatic and unsupervised. Further, the model is refined for effective segmentation of noisy greyscale image. The fourth-order anisotropic term with the multi-well potential is shown to properly segment noisy images. Fourier spectral method in space with semi-implicit convexity splitting in time is used to derive an unconditionally stable scheme. Numerical studies on some standard test images and comparison of results with those in literature clearly depict the superiority of the anisotropic variant of the non-linear PDE model.
Starting Page	2597
Ending Page	2609
Page Count	13
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 11, Sep (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0885
Journal	IET Image Processing
Publisher Date	2020-03-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Fourier Spectral Method Fourth-order Non-linear Partial Differential Equation Image Colour Analysis Image Denoising Image Segmentation Knowledge Engineering Technique Mathematical Analysis Noisy Greyscale Image Segmentation Nonlinear PDE Model Optical, Image And Video Signal Processing Partial Differential Equation Unsupervised Learning Unsupervised Segmentation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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