RMPJ: An ImageJ plugin for morphological information processing in biomedical images

RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphologic...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PLoS computational biology Jg. 21; H. 4; S. e1012992
1. Verfasser: Kimori, Yoshitaka
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 16.04.2025
Public Library of Science (PLoS)
Schlagworte:
Algorithms
Computational Biology
Computer and Information Sciences
Data processing
Diagnostic imaging
Engineering and Technology
Humans
Image processing
Image Processing, Computer-Assisted - methods
Information processing
Medical imaging
Medical research
Medicine and Health Sciences
Methods
Microscopy
Morphology
Physical Sciences
Research and Analysis Methods
Software
Japan
ISSN:1553-7358, 1553-734X, 1553-7358
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:RMPJ is an image-processing tool that facilitates the effective enhancement of low-contrast analysis objects and enables preprocessing to quantify the morphological features of the objects under analysis. This ImageJ plugin implements seven image-processing algorithms based on rotational morphological processing (RMP), a variation of traditional morphological operations. RMPJ enables the enhancement and extraction of intricate and nuanced features in biomedical images. Furthermore, it facilitates the separation and extraction of multiple aggregated structures. This software aims to expand the scope of research in life sciences by providing an image-processing method that quantitatively analyzes the morphological information of objects.
Bibliographie:new_version
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
The author have declared that no competing interests exist.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1012992