Mathematics – Logic
Scientific paper
Jul 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aspc..442..151p&link_type=abstract
Astronomical Data Analysis Software and Systems XX. ASP Conference Proceedings, Vol. 442, proceedings of a Conference held at Se
Mathematics
Logic
Scientific paper
The morphological complexity of extended real structures (such as SNRs, HII regions, bow shocks, etc.), and their wide variety in scale and surface brightness make their automatic detection and segmentation in large surveys a difficult task. We propose in this paper a segmentation method based on applying wavelet decomposition in the residual thresholded images. This strategy avoids the artifacts produced by strong sources in a straight wavelet decomposition. Our method successfully segments extended structures at different scales and therefore is suitable for further morphological analysis and object recognition processes. Results using images from radio and infrared wavelengths surveys show the validity of our approach.
Freixenet J.
Lladó X.
Marti James
Oliver A.
Paredes Javier M.
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