Microfeature Segmentation Algorithm for Biological Images Using Improved Density Peak Clustering

To address the problem of low precision in feature segmentation of biological images with large noise, a microfeature segmentation algorithm for biological images using improved density peak clustering was proposed. First, the center pixel and edge information of a biological image were obtained to...

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Detalles Bibliográficos
Autores principales: Li, Man, Sha, Haiyin, Liu, Hongying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410864/
https://www.ncbi.nlm.nih.gov/pubmed/36035280
http://dx.doi.org/10.1155/2022/8630449

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410864/
https://www.ncbi.nlm.nih.gov/pubmed/36035280
http://dx.doi.org/10.1155/2022/8630449

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