Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation

Abstract Image segmentation is a core research in the image processing and computer vision. In this paper, we suggest a Bi-cubic spline phase transition potential and elaborate a Bi-Cubic spline phase transition potential development. In the image segmentation, we develop the new approach to apply t...

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Main Author: Dongyung Kim
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-54855-7
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author Dongyung Kim
author_facet Dongyung Kim
author_sort Dongyung Kim
collection DOAJ
description Abstract Image segmentation is a core research in the image processing and computer vision. In this paper, we suggest a Bi-cubic spline phase transition potential and elaborate a Bi-Cubic spline phase transition potential development. In the image segmentation, we develop the new approach to apply the novel computational fluid dynamics in the boundary with subgrid. The numerical subgrid Bi-cubic method with Bi-Cubic spline for minimizing the piecewise constant energy functional is very efficient, robust and fast in the image segmentation with a multispecies multiphase segmentation models. The subgrid Bi-cubic spline is applied on the boundary with subgrid and the regular grid is applied on the non-boundary. The model generates a multispecies multiphase distribution with Bi-Cubic spline and we can extract the image segments with multispecies multiphase. Finally, we analyze the models and show the numerical results. Numerical results are presented with OCR (Optical Character Recognition) and the medical image.
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spelling doaj.art-7ac0f0db18454ea6b48a54e1c15ac3852024-04-14T11:12:40ZengNature PortfolioScientific Reports2045-23222024-04-011411810.1038/s41598-024-54855-7Numerical subgrid Bi-cubic methods of partial differential equations in image segmentationDongyung Kim0Department of Mathematics, Phoenix CollegeAbstract Image segmentation is a core research in the image processing and computer vision. In this paper, we suggest a Bi-cubic spline phase transition potential and elaborate a Bi-Cubic spline phase transition potential development. In the image segmentation, we develop the new approach to apply the novel computational fluid dynamics in the boundary with subgrid. The numerical subgrid Bi-cubic method with Bi-Cubic spline for minimizing the piecewise constant energy functional is very efficient, robust and fast in the image segmentation with a multispecies multiphase segmentation models. The subgrid Bi-cubic spline is applied on the boundary with subgrid and the regular grid is applied on the non-boundary. The model generates a multispecies multiphase distribution with Bi-Cubic spline and we can extract the image segments with multispecies multiphase. Finally, we analyze the models and show the numerical results. Numerical results are presented with OCR (Optical Character Recognition) and the medical image.https://doi.org/10.1038/s41598-024-54855-7Partial differential equationsImage segmentationNumerical methods
spellingShingle Dongyung Kim
Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
Scientific Reports
Partial differential equations
Image segmentation
Numerical methods
title Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
title_full Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
title_fullStr Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
title_full_unstemmed Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
title_short Numerical subgrid Bi-cubic methods of partial differential equations in image segmentation
title_sort numerical subgrid bi cubic methods of partial differential equations in image segmentation
topic Partial differential equations
Image segmentation
Numerical methods
url https://doi.org/10.1038/s41598-024-54855-7
work_keys_str_mv AT dongyungkim numericalsubgridbicubicmethodsofpartialdifferentialequationsinimagesegmentation