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Hybrid Active Contour Based on Local and Global Statistics Parameterized by Weight Coefficients for Inhomogeneous Image Segmentation

Image inhomogeneity often occurs in real-world images and may present considerable difficulties during image segmentation. Therefore, this paper presents a new approach for the segmentation of inhomogeneous images. The proposed hybrid active contour model is formulated by combining the statistical i...

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Hlavní autoři: Asim Niaz, Kaynat Rana, Aditi Joshi, Asad Munir, Daeun Dana Kim, Hyun Chul Song, Kwang Nam Choi
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2020-01-01
Edice:IEEE Access
Témata:
Active contours
bias field
image segmentation
intensity inhomogeneity
level set
On-line přístup:https://ieeexplore.ieee.org/document/9044368/
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