Bi-variate statistical attribute filtering: A tool for robust detection of faint objects

Paul Teeninga, Ugo Moschini, Scott C. Trager, M.H.F. Wilkinson

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We present a new method for morphological connected attribute filtering for object
detection in astronomical images. In this approach, a threshold is set on one attribute
(power), based on its distribution due to noise, as a function of object area. The results
show an order of magnitude higher sensitivity than a state-of-the-art method.
Original languageEnglish
Title of host publication11th International Conference "Pattern Recognition and Image Analysis
Subtitle of host publicationNew Information Technologies" (PRIA-11-2013)
Pages746-749
Number of pages4
Publication statusPublished - 2013

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