This paper is published in Volume-8, Issue-3, 2022
Area
Image Processing
Author
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani
Org/Univ
Vellore Institute of Technology, Vellore, Tamil Nadu, India
Keywords
Astronomical Data, Autostakkert, ds9, Shape Index, Noise Reduction, Terminator Positions, Python Script
Citations
IEEE
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani. Visualization of the shape index profile of a 2D Astronomical image in 3D, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani (2022). Visualization of the shape index profile of a 2D Astronomical image in 3D. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.
MLA
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani. "Visualization of the shape index profile of a 2D Astronomical image in 3D." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani. Visualization of the shape index profile of a 2D Astronomical image in 3D, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani (2022). Visualization of the shape index profile of a 2D Astronomical image in 3D. International Journal of Advance Research, Ideas and Innovations in Technology, 8(3) www.IJARIIT.com.
MLA
Yazhini Gopalakrishnan, Prishita Omesh Mirchandani Budhrani. "Visualization of the shape index profile of a 2D Astronomical image in 3D." International Journal of Advance Research, Ideas and Innovations in Technology 8.3 (2022). www.IJARIIT.com.
Abstract
Astronomical data provides assertions about the nature of life. This paper focuses on data and noise reduction of the provided Moon fit files, to analyze the mountains on five different terminator positions of the Moon. Autostakkert and ds9 tools are used respectively for noise reduction as well as pixel distance calculation. The main focus of this paper is to provide 3D visualization of the shape index profile of the input image using python script.
