Title
Automatic threshold selection for morphological attribute profiles Automatic threshold selection for morphological attribute profiles
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
bookPart
Publication
S.l. , [*]
Subject
Economics
Physics
Source (book)
IEEE IGARSS 2012, International Geoscience and Remote Sensing Symposium , Munich, 22-27 July 2012
ISBN - Hoofdstuk
978-1-4673-1158-8
ISI
000313189404242
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
In this article, an automatized procedure for selecting informative values of the thresholds, essential for the construction of morphological attribute profiles, is proposed. To this end, connected component analysis is performed on a preliminary supervised or unsupervised classification result that does not involve contextual information. Subsequently, after extracting the relevant attributes from each of the connected components, the threshold values are found by grouping the attribute vectors using a clustering algorithm. In our experiments, we demonstrate the effect of image scaling on the selected thresholds. In addition, we show the advantage of using our automatic threshold selection approach with respect to manual selection, by both monitoring redundancy and performing a classification experiment.
E-info
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