Active contour driven by adaptively weighted signed pressure force combined with Legendre polynomial for image segmentation
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Publication:6081098
DOI10.1016/j.ins.2021.02.019zbMath1523.94008OpenAlexW3130829986MaRDI QIDQ6081098
Mingliang Zhou, Sam Kwong, Bin Fang, Xingyu Fu
Publication date: 25 October 2023
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.019
Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)
Cites Work
- Active contours driven by local image fitting energy
- A novel active contour model for medical images via the Hessian matrix and eigenvalues
- Image segmentation based on an active contour model of partial image restoration with local cosine fitting energy
- A fractional order derivative based active contour model for inhomogeneous image segmentation
- A novel local region-based active contour model for image segmentation using Bayes theorem
- Active contours without edges
- Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation
- Image Segmentation for Intensity Inhomogeneity in Presence of High Noise
- LATE: A Level-Set Method Based on Local Approximation of Taylor Expansion for Segmenting Intensity Inhomogeneous Images
- Weighted Level Set Evolution Based on Local Edge Features for Medical Image Segmentation
- Disjunctive Normal Parametric Level Set With Application to Image Segmentation
- RESLS: Region and Edge Synergetic Level Set Framework for Image Segmentation
- Deep Multiphase Level Set for Scene Parsing
- Convexity Shape Prior for Level Set-Based Image Segmentation Method
- Minimization of Region-Scalable Fitting Energy for Image Segmentation
- Distance Regularized Level Set Evolution and Its Application to Image Segmentation
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