Fast Mumford-Shah two-phase image segmentation using proximal splitting scheme

DOI10.1155/2021/6618505zbMath1499.94013OpenAlexW3153975561MaRDI QIDQ2039867

Nilima Shah, Dhanesh Patel, Pasi Fränti

Publication date: 5 July 2021

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2021/6618505

Mathematics Subject Classification ID

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

Uses Software

• UNLocBoX
• BSDS

Cites Work

• Unnamed Item
• Fast image segmentation based on efficient implementation of the Chan-Vese model with discrete gray level sets
• An integral formula for total gradient variation
• A regularized \(k\)-means and multiphase scale segmentation
• Proximal Splitting Methods in Signal Processing
• Optimal approximations by piecewise smooth functions and associated variational problems
• Approximation of functional depending on jumps by elliptic functional via t-convergence
• A Multiscale Algorithm for Image Segmentation by Variational Method
• Active contours without edges
• A Convex Approach to Minimal Partitions
• Mumford and Shah Model and its Applications to Image Segmentation andImage Restoration
• The Piecewise Smooth Mumford–Shah Functional on an Arbitrary Graph

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