Title :
Astronomical systems analysis and object detection
Author :
Mojzis, Frantisek ; Kukal, Jaromir ; Svihlik, Jan
Author_Institution :
Dept. of Comput. & Control Eng., Inst. of Chem. Tech. in Prague, Prague, Czech Republic
Abstract :
This paper is devoted to the astronomical systems analysis and object detection in images acquired by these systems. It brings general overview of object detection methods used in digital image processing and focuses on different approach via. mathematical statistics. Astronomical systems analysis introduces statistical test for Poisson distribution and False Discovery Rate used in multiple hypothesis testing. Mentioned methods are firstly used for analysis of the dark frames. These results are then used for the purpose of object detection. Proposed methods are applied to the model data and then to the real images acquired by MAIA (Meteor Automatic Imager and Analyzer) system.
Keywords :
Poisson distribution; astronomical image processing; object detection; MAIA system data; Meteor Automatic Imager and Analyzer system data; Poisson distribution; astronomical system analysis; dark frame analysis; digital image processing; false discovery rate; mathematical statistics; multiple hypothesis testing; object detection methods; statistical test; Charge coupled devices; Data models; Digital images; Object detection; Temperature sensors; Testing; Transforms; Astronomical systems; False Discovery Rate; Hypothesis testing; Object detection;
Conference_Titel :
Radioelektronika (RADIOELEKTRONIKA), 2012 22nd International Conference
Conference_Location :
Brno
Print_ISBN :
978-1-4673-0659-1