# name
Image processing software for Near Earth Objects (NEOs) detection

# metadata.dc.description[].value
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2014, Tutor: Jorge Núñez

# metadata.dc.description.abstract[].value
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.

# metadata.dc.title[].value
Image processing software for Near Earth Objects (NEOs) detection