A novel NAM‐based image segmentation using hierarchical density‐based spatial clustering

A novel NAM‐based image segmentation using hierarchical density‐based spatial clustering

Abstract This paper proposes a new method for hierarchical image segmentation based on the nonsymetry and anti‐packing pattern representation model (NAM) and the hierarchical density‐based spatial clustering of application with noise (HDBSCAN). The proposed framework consists of two phases. In the f...

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Bibliographic Details
Main Authors: Yunping Zheng, Dilong Wen, Mudar Sarem
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Image Processing
Subjects:
image processing
image representation
Online Access:https://doi.org/10.1049/ipr2.13023

Internet

https://doi.org/10.1049/ipr2.13023

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