Hexagonal-Grid-Layout Image Segmentation Using Shock Filters: Computational Complexity Case Study for Microarray Image Analysis Related to Machine Learning Approaches

Hexagonal-Grid-Layout Image Segmentation Using Shock Filters: Computational Complexity Case Study for Microarray Image Analysis Related to Machine Learning Approaches

Hexagonal grid layouts are advantageous in microarray technology; however, hexagonal grids appear in many fields, especially given the rise of new nanostructures and metamaterials, leading to the need for image analysis on such structures. This work proposes a shock-filter-based approach driven by m...

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Bibliographic Details
Main Authors: Aurel Baloi, Carmen Costea, Robert Gutt, Ovidiu Balacescu, Flaviu Turcu, Bogdan Belean
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
hexagonal grids
shock-filter
machine learning
image segmentation
computational complexity
gene expression
Online Access:https://www.mdpi.com/1424-8220/23/5/2582

Internet

https://www.mdpi.com/1424-8220/23/5/2582

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