An Improved Approach for Image Segmentation and Three-Dimensional Reconstruction

DOI10.5890/DNC.2020.06.003zbMath1493.94004OpenAlexW3035048402MaRDI QIDQ5092915

E. El Guarmah, K. Bellaj, Soumaya Boujena

Publication date: 26 July 2022

Published in: The interdisciplinary journal of Discontinuity, Nonlinearity, and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.5890/dnc.2020.06.003

zbMATH Keywords

Dijkstra algorithmhigh-resolution images

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

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• Nonlinear total variation based noise removal algorithms
• Image restoration using total variation with overlapping group sparsity
• Non-local total bounded variation scheme for multiple-coil magnetic resonance image restoration
• Semi-group theory for the Perona-Malik equation.
• PDE-based efficient method for colour image restoration
• A multiphase level set framework for image segmentation using the Mumford and Shah model
• Reaction-diffusion equation based image restoration
• On a non-linear model for image noise reduction
• A Nonlinear Parabolic Model in Processing of Medical Image
• Image Selective Smoothing and Edge Detection by Nonlinear Diffusion
• Active contours without edges
• Localizing Region-Based Active Contours
• Distance Regularized Level Set Evolution and Its Application to Image Segmentation

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