A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization

A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization

Optical image is a kind of important data for communication because it is a two or three -dimensions data set to express communication information such as geographical signal, medical signal, remote sensing signal, etc. Thus, how to express the optical image properly is critical for the communicatio...

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Main Authors: Zilong Liu, Yiqin Jiang, Yuxiao Li, Jin Li, Zhuoran Li, Shuguo Zhang, Yusheng Lian, Ruping Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Optical image display Grayscale Standard Display Function (GSDF) neural network standardization
Online Access:https://ieeexplore.ieee.org/document/8843871/
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spelling doaj-7ed50eb01d5a46dc8b88422cb87374652021-03-29T23:11:10ZengIEEEIEEE Access2169-35362019-01-01713755213755910.1109/ACCESS.2019.29422158843871A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display StandardizationZilong Liu0https://orcid.org/0000-0003-3637-1586Yiqin Jiang1Yuxiao Li2Jin Li3Zhuoran Li4Shuguo Zhang5Yusheng Lian6Ruping Liu7Optic Division, National Institute of Metrology, Beijing, ChinaOptic Division, National Institute of Metrology, Beijing, ChinaOptic Division, National Institute of Metrology, Beijing, ChinaDepartment of Engineering, Photonics and Sensors Group, University of Cambridge, Cambridge, U.K.Optic Division, National Institute of Metrology, Beijing, ChinaState Grid Beijing Electric Power Company Training Center, Beijing, ChinaSchool of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing, ChinaSchool of Printing and Packaging Engineering, Beijing Institute of Graphic Communication, Beijing, ChinaOptical image is a kind of important data for communication because it is a two or three -dimensions data set to express communication information such as geographical signal, medical signal, remote sensing signal, etc. Thus, how to express the optical image properly is critical for the communication analytics. A new display method for optical image is described which is derived from the concept-Grayscale Standard Display Function (GSDF) which has been defined in DICOM, a medical image standard. The method analysis GSDF based on neural network processing which is different to DICOM. And the training data are from a self-assembly Equipment in NIM which is a traceable optical display equipment. Thus, the method has common usage for all optical image display, exceeding medical image. Furthermore, it is suitable for standardization because of the traceability.https://ieeexplore.ieee.org/document/8843871/Optical image display Grayscale Standard Display Function (GSDF) neural network standardization
collection DOAJ
language English
format Article
sources DOAJ
author Zilong Liu
Yiqin Jiang
Yuxiao Li
Jin Li
Zhuoran Li
Shuguo Zhang
Yusheng Lian
Ruping Liu
spellingShingle Zilong Liu
Yiqin Jiang
Yuxiao Li
Jin Li
Zhuoran Li
Shuguo Zhang
Yusheng Lian
Ruping Liu
A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
IEEE Access
Optical image display Grayscale Standard Display Function (GSDF) neural network standardization
author_facet Zilong Liu
Yiqin Jiang
Yuxiao Li
Jin Li
Zhuoran Li
Shuguo Zhang
Yusheng Lian
Ruping Liu
author_sort Zilong Liu
title A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
title_short A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
title_full A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
title_fullStr A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
title_full_unstemmed A Neural Network Processing Method Based on Self-Assembly Equipment for Optical Image Display Standardization
title_sort neural network processing method based on self-assembly equipment for optical image display standardization
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description Optical image is a kind of important data for communication because it is a two or three -dimensions data set to express communication information such as geographical signal, medical signal, remote sensing signal, etc. Thus, how to express the optical image properly is critical for the communication analytics. A new display method for optical image is described which is derived from the concept-Grayscale Standard Display Function (GSDF) which has been defined in DICOM, a medical image standard. The method analysis GSDF based on neural network processing which is different to DICOM. And the training data are from a self-assembly Equipment in NIM which is a traceable optical display equipment. Thus, the method has common usage for all optical image display, exceeding medical image. Furthermore, it is suitable for standardization because of the traceability.
topic Optical image display Grayscale Standard Display Function (GSDF) neural network standardization
url https://ieeexplore.ieee.org/document/8843871/
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