Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/59900
Title: Image processing software for Near Earth Objects (NEOs) detection
Author: Montalà Flaquer, Marc
Director: Núñez de Murga, Jorge, 1955-
Keywords: Astrofísica
Processament digital d'imatges
Tesis
Astrophysics
Digital image processing
Theses
Issue Date: Jun-2014
Abstract: The development of image processing software has been one of the most relevant achievements in astronomy of the last decade. After succeeding to get technical improvement on telescopes and detection systems it was needed to perfect the image processing software in order to make good use of the equipment provided. Matched lter algorithms were implemented within a exible test oriented software which allows the exploration of various scenarios that could arise during the research. These matched lter techniques have proved to be more precise when processing stellar imagery for asteroid detection and tracking. The main purpose of this report is to put into operation the image processing code SALTAD, which stands for SAIC Algorithm Test bed for Asteroid Detection, and compare its results with another image processing software, Visual PinPoint.
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2014, Tutor: Jorge Núñez
URI: http://hdl.handle.net/2445/59900
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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