Masking and Tracklet Building for Space Debris and NEO Observations

2020 ◽  
pp. 38-56
Author(s):  
Stanislav Krajčovič ◽  
Roman Ďurikovič ◽  
Jiří Šilha
Keyword(s):  
Image Processing ◽  
Space Debris ◽  
Real Space ◽  
Design And Development ◽  
Processing Elements ◽  
Processing Pipeline

The partial goal of the transformation of a newly acquired telescope into a professional observation device was a design and development of an image processing pipeline. The pipeline can process an acquired raw image of space debris into object observations in time (tracklets), and further correlate and identify them with selected catalogues. The system contains nine image processing elements (IPEs) in total that are further described in this chapter and have already been deployed and tested on real space debris data.

scholarly journals Image processing pipeline for synchrotron-radiation-based tomographic microscopy

2010 ◽  
Vol 17 (4) ◽  
pp. 550-559 ◽  
Author(s):  
C. Hintermüller ◽  
F. Marone ◽  
A. Isenegger ◽  
M. Stampanoni
Keyword(s):  
Image Processing ◽  
Synchrotron Radiation ◽  
Processing Pipeline

scholarly journals The Dark Energy Survey Image Processing Pipeline

2018 ◽  
Vol 130 (989) ◽  
pp. 074501 ◽  
Author(s):  
E. Morganson ◽  
R. A. Gruendl ◽  
F. Menanteau ◽  
M. Carrasco Kind ◽  
Y.-C. Chen ◽  
...  
Keyword(s):  
Image Processing ◽  
Dark Energy ◽  
Processing Pipeline ◽  
Dark Energy Survey ◽  
Energy Survey

scholarly journals Using Relion software within Scipion framework

2020 ◽  
Author(s):  
Grigory Sharov ◽  
Dustin R. Morado ◽  
Marta Carroni ◽  
José Miguel de la Rosa-Trevín
Keyword(s):  
Image Processing ◽  
User Interfaces ◽  
Published Data ◽  
New Developments ◽  
Processing Pipeline ◽  
Software Packages ◽  
File Formats ◽  
Processing Framework ◽  
Taking Care

Scipion is a modular image processing framework integrating several software packages under a unified interface while taking care of file formats and conversions. Here new developments and capabilities of the Scipion plugin for the Relion software are presented and illustrated with the image processing pipeline of published data. The user interfaces of Scipion and Relion are compared and the key differences highlighted, allowing this manuscript to be used as a guide for both new and experienced users of these software. Different streaming image processing options are also discussed demonstrating the flexibility of the Scipion framework.SynopsisAn overview of the Scipion plugin for the Relion software is presented and various capabilities of image processing within Scipion framework are discussed.

Image Processing Pipeline to Improve the Detection of Vertical Root Fractures in Digital Periapical Radiographs

2019 ◽  
pp. 253-258
Author(s):  
Lucas E. Soares ◽  
Kaique L. Lima ◽  
Lorena R. Silva ◽  
Fernanda P. Yamamoto-Silva ◽  
Marcelo A. C. Vieira
Keyword(s):  
Image Processing ◽  
Processing Pipeline ◽  
Root Fractures
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