A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation
Joint Authors
Hu, Feng
Zhang, Mengyun
Chen, Bo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Active contour model (ACM) is a powerful segmentation method based on differential equation.
This paper proposes a novel adaptive ACM to segment those intensity inhomogeneity images.
Firstly, a novel signed pressure force function is presented with Legendre polynomials to control curve contraction.
Legendre polynomials can approximate regional intensities corresponding to evolving curve.
Secondly, global term of our model characterizes difference of Legendre coefficients, and local energy term characterizes fitting evolution curve of interested region.
Final contour evolution will minimize the energy function.
Thirdly, a correction term is employed to improve the performance of curve evolution according to the initial contour position, so wherever the initial contour being in the image, the object boundaries can be detected.
Fourthly, our model combines the advantages of two classical models such as good topological changes and computational simplicity.
The new model can classify regions with similar intensity values.
Compared with traditional models, experimental results show effectiveness and efficiently of the new model.
American Psychological Association (APA)
Hu, Feng& Zhang, Mengyun& Chen, Bo. 2020. A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation. Journal of Function Spaces،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1185224
Modern Language Association (MLA)
Hu, Feng…[et al.]. A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation. Journal of Function Spaces No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1185224
American Medical Association (AMA)
Hu, Feng& Zhang, Mengyun& Chen, Bo. A Novel Global Energy and Local Energy-Based Legendre Polynomial Approximation for Image Segmentation. Journal of Function Spaces. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1185224
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1185224