Multi-Focus Images Fusion for Fluorescence Imaging Based on Local Maximum Luminosity and Intensity Variance

Autor:	Hao Cheng, Kaijie Wu, Chaochen Gu, Dingrui Ma
Jazyk:	angličtina
Rok vydání:	2024
Předmět:	fluorescence imaging multi-focus images fusion 3D surface model Chemical technology TP1-1185
Zdroj:	Sensors, Vol 24, Iss 15, p 4909 (2024)
Druh dokumentu:	article
ISSN:	1424-8220
DOI:	10.3390/s24154909
Popis:	Due to the limitations on the depth of field of high-resolution fluorescence microscope, it is difficult to obtain an image with all objects in focus. The existing image fusion methods suffer from blocking effects or out-of-focus fluorescence. The proposed multi-focus image fusion method based on local maximum luminosity, intensity variance and the information filling method can reconstruct the all-in-focus image. Moreover, the depth of tissue’s surface can be estimated to reconstruct the 3D surface model.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/6ffd215a2ac149a58e666c08cd3c8758 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.