Filament Identification through Mathematical Morphology

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We present a new algorithm for detecting filamentary structure FilFinder.

• The algorithm uses the techniques of mathematical morphology for filament identification, presenting a complementary approach to current algorithms which use matched filtering or critical manifolds.
• Unlike other methods, FilFinder identifies filaments over a wide dynamic range in brightness.
• We apply the new algorithm to far infrared imaging data of dust emission released by the Herschel Gould Belt Survey team.