Anais do IX SIBGRAPI'96 (1996), 235-242
A Mathematical Morphology Approach to the Characterization of Astronomical Objects
Alcione Jandir Candeas(1), Ulisses de Mendonça Braga Neto(2) e Edson Costa de Barros Carvalho Filho(1)
(1)Universidade Federal de Pernambuco/Departamento de Informática, (2)The Johns Hopkins University / Dept. Eletrical and Computer Engineering
ajc@di.ufpe.br
- Abstract:
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We deal in this work with a broadly studied topic in
astronomical imaging, namely the star/galaxy discrimination
problem. Through the use of Mathematical Morphology, we
propose an original approach to the characterization of
these astronomical objects, which is based on gray-level
shape information. The main steps in our method are image
pre-processing, segmentation and feature extraction, all of
which employ Mathematical Morphology tools that were
implemented using the MMach toolbox for the Khoros system.
We present a comparison between our segmentation results,
based on the watershed method, and those of a classical
software package SExtractor. The shape information is
extracted through the use of the gray-level morphological
pattern spectrum, which yields very satisfactory shape
features, that promise to be very suitable for future work
in neural-network automatic classification.
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