A new measure for comparing biomedical regions of interest in segmentation of digital images

DOI10.1016/j.dam.2015.06.002zbMath1329.68271OpenAlexW766160502MaRDI QIDQ499376

Aura Conci, Débora C. M. Saade, Giomar O. Sequeiros, Trueman MacHenry, Stephenson S. L. Galvão

Publication date: 30 September 2015

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

Full work available at URL: https://doi.org/10.1016/j.dam.2015.06.002

zbMATH Keywords

image segmentationHausdorff distancediscrete setsbiomedical image processinginfrared imaging

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Biomedical imaging and signal processing (92C55)

Related Items

Preface

Uses Software

• FSIM

Cites Work

• Linear operator theory in engineering and science. Repr. of the 1971 orig., publ. by Holt, Rinehart \& Winston, Inc.
• Confidence Regions for Means of Random Sets Using Oriented Distance Functions
• FSIM: A Feature Similarity Index for Image Quality Assessment
• Euclidean Distance Geometry and Applications
• Data Clustering: Theory, Algorithms, and Applications
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