Stellar object detection using the wavelet transform

Presenter: Anisimova Elena

Nowadays there are several algorithms for stellar object detection in astronomical images that are used for example in the program package DAOPHOT and Software for source extraction SExtractor. In my bachelor thesis I became acquainted with the wavelet transform and its good localization properties. After studying the manual to DAOPHOT, SExtractor and become familiar with the A trous algorithm used to calculate the wavelet transform I put the task to implement within my thesis an algorithm for stars detection on the base of the wavelet transform. Especially, I focused on the detection of stellar objects in complex fields such as star clusters and galaxies. In this poster I will describe stellar object detection algorithm using the wavelet transform and I will show the achived results.