Nonparametric clustering for image segmentation

DOI10.1002/sam.11444OpenAlexW3121188248MaRDI QIDQ4970312

Giovanna Menardi

Publication date: 14 October 2020

Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2101.08345

zbMATH Keywords

kernel smoothingimage segmentationnonparametric density estimationmode

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Uses Software

• R
• KernSmooth
• biOps
• pdfCluster
• Ebimage
• GitHub

Cites Work

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• A population background for nonparametric density-based clustering
• Modal clustering asymptotics with applications to bandwidth selection
• The estimation of the gradient of a density function, with applications in pattern recognition
• Active contours without edges
• Bootstrapping for Significance of Compact Clusters in Multidimensional Datasets
• TiK‐means: Transformation‐infused K‐means clustering for skewed groups
• Minimization of Region-Scalable Fitting Energy for Image Segmentation