Detection of texture and isolated features using alternating morphological filters

Zingman, Igor; Saupe, Dietmar; Lambers, Karsten

Detection of texture and isolated features using alternating morphological filters

Dateien

Zingman_235286.pdfGröße: 7.86 MBDownloads: 380

Datum

2013

Projekt

Silvretta Historica - Kulturgeschichte grenzenlos erforschen und erleben

Sammlungen

Informatik und Informationswissenschaft
Zukunftskolleg

Publikationstyp

Beitrag zu einem Konferenzband

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HENDRIKS, Cris L. Luengo, ed., Gunilla BORGEFORS, ed., Robin STRAND, ed.. Mathematical Morphology and Its Applications to Signal and Image Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 440-451. ISBN 978-3-642-38293-2. Available under: doi: 10.1007/978-3-642-38294-9_37

Zusammenfassung

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 objects 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.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Digital image analysis, texture segmentation, remote sensing

Zitieren

ISO 690

ZINGMAN, Igor, Dietmar SAUPE, Karsten LAMBERS, 2013. Detection of texture and isolated features using alternating morphological filters. In: HENDRIKS, Cris L. Luengo, ed., Gunilla BORGEFORS, ed., Robin STRAND, ed.. Mathematical Morphology and Its Applications to Signal and Image Processing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013, pp. 440-451. ISBN 978-3-642-38293-2. Available under: doi: 10.1007/978-3-642-38294-9_37

BibTex

@inproceedings{Zingman2013Detec-23528,
  year={2013},
  doi={10.1007/978-3-642-38294-9_37},
  title={Detection of texture and isolated features using alternating morphological filters},
  number={7883},
  isbn={978-3-642-38293-2},
  publisher={Springer Berlin Heidelberg},
  address={Berlin, Heidelberg},
  series={Lecture Notes in Computer Science},
  booktitle={Mathematical Morphology and Its Applications to Signal and Image Processing},
  pages={440--451},
  editor={Hendriks, Cris L. Luengo and Borgefors, Gunilla and Strand, Robin},
  author={Zingman, Igor and Saupe, Dietmar and Lambers, Karsten}
}

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