A narrow band graph partitioning method for skin lesion segmentation

DOI10.1016/j.patcog.2008.09.006zbMath1178.68519OpenAlexW2056372113MaRDI QIDQ1010066

Ning Situ, Xiaojing Yuan, George Zouridakis

Publication date: 3 April 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.09.006

zbMATH Keywords

snakeactive contourautomatic skin lesion segmentationborder detectionmelanoma detectionnarrow band energy

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Unsupervised multi-class segmentation of SAR images using fuzzy triplet Markov fields model ⋮ Particle method for segmentation of breast tumors in ultrasound images ⋮ Designing a new software tool for digital imagery based on P systems

Uses Software

• Dullrazor

Cites Work

• Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
• A fast level set method for propagating interfaces
• Computing minimal surfaces via level set curvature flow
• Active contours without edges
• Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification
• Snakes, shapes, and gradient vector flow

This page was built for publication: A narrow band graph partitioning method for skin lesion segmentation