Application of convolutional neural network to acquisition of clear images for objects with large vertical size in stereo light microscope vision system-Reference-Cited by-同舟云学术

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Application of convolutional neural network to acquisition of clear images for objects with large vertical size in stereo light microscope vision system

Published:2019-10-22 Issue:2 Volume:83 Page:140-147
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microsc Res Tech

Author:

Zhang Junhua¹^ORCID,Li Xuefang²,Zhang Yufeng¹

Affiliation:

1. Department of Electronic EngineeringYunnan University Kunming China

2. Department of PharmacyYunnan University of Chinese Medicine Kunming China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.23396

Reference16 articles.

1. Measure of image clarity using image features extracted by the multiscale top-hat transform

2. Quadtree-based multi-focus image fusion using a weighted focus-measure

3. Color gradient vectorization for SVG compression of comic image

4. A depth estimation method based on geometric transformation for stereo light microscope

5. Research on quality measures for image fusion;Hu L.;Acta Electronica Sinica,2004

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