Detection of texture and isolated features using alternating morphological filters





Professorship/Faculty: Juniorprofessur für Informationsverarbeitung in der Geoarchäologie 
Author(s): Zingman, Igor; Saupe, Dietmar; Lambers, Karsten
Title of the compilation: Mathematical Morphology and Its Applications to Signal and Image Processing : 11th International Symposium, ISMM 2013, Uppsala, Sweden, May 27-29, 2013, Proceedings
Editors: Luengo Hendriks, Cris L.; Borgefors, Gunilla; Strand, Robin
Publisher Information: Berlin : Springer
Year of publication: 2013
Pages / Size: 440 - 451 : Ill., graph. Darst.
ISBN: 978-3-642-38293-2
978-3-642-38294-9
Language(s): English
URL: http://link.springer.com/chapter/10.1007/978-3-...
Document Type: Contribution to an Articlecollection
Abstract: 
Recently, we introduced a morphological texture contrast (MTC) operator that allows detection of textural and non-texture regions in images. In this paper we provide comparison of the MTC with other available techniques. We show that, in contrast to other approaches, the MTC discriminates between texture details and isolated features, and does not extend borders of texture regions. Using the ideas underlying the MTC operator, we develop a complementary operator called morphological feature contrast (MFC) that allows extraction of isolated features while not being confused by texture details. We illustrate an application of the MFC operator for extraction of isolated bjects such as individual trees or buildings that should be distinguished from forests or urban centers. We furthermore provide an example of how this operator can be used for detection of isolated linear structures. We also derive an
extended version of the MFC that works with vector-valued images.
Keywords: digital image analysis, remote sensing, texture, mathematical morphology
URI: https://fis.uni-bamberg.de/handle/uniba/1651
Release Date: 5. June 2013