Skip to main content
  • 281 Accesses

Zusammenfassung

Viele Anwendungsbeispiele wurden durch das gesamte Buch hindurch vorgestellt. Dieses letzte Kapitel vermittelt einen kurzen Überblick über weitere praktische Probleme, die mit Hilfe morphologischer Algorithmen gelöst worden sind. Diese Probleme sind nach den Anwendungsgebieten sortiert (Abschn. 11.1–11.7): Geowissenschaften, Material Wissenschaften, biologische und medizinische Bildverarbeitung, industrielle Anwendungen, Identifikation und Sicherheitskontrolle, Dokumentenverarbeitung und Bildcodierung. Weitere Gebiete werden in Abschn. 11.8 erläutert. Das Kapitel schließt mit einer Literaturliste ab. Es sei darauf hingewiesen, daß das dort aufgeführte Literaturverzeichnis keinen Anspruch auf Vollständigkeit hat. Insbesondere werden nur Artikel, die in Bildverarbeitungsfachzeitschriften veröffentlicht wurden, aufgeführt (mit einigen durch die Interessen der Autoren bedingten Ausnahmen). Die am häufigsten zitierten Fachzeitschriften werden nachfolgend aufgelistet:

  • Computer Vision Graphics and Image Processing (Sonderausgabe: Volume 35, 1986). Zwei verschiedene Zeitschriften sind aus dieser Zeitschrift entstanden: Image Understanding und Graphical Models and Image Processing.

  • IEEE Transactions on Pattern Analysis and Machine Intelligence.

  • IEEE Transactions on Image Processing (Sonderausgabe über nichtlineare Bildverarbeitung: Vol. 5, Nummer 6, Juni 1996).

  • Journal of Electronic Imaging (Sonderausgabe über nichtlineare Bildverarbeitung: Vol. 5, Nummer 3, Juli 1996).

  • Journal of Mathematical Imaging and Vision (Sonderausgabe über Morphologie: Vol. 1, Nummer 3, September 1992).

  • Journal of Visual Communication and Image Representation

  • Machine Vision Applications

  • Pattern Recognition

  • Pattern Recognition Letters

  • Signal Processing (Sonderausgaben über mathematische Morphologie: Vol. 16, Nummer 4, April 1989 und Vol. 38, 1994).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  • Ansoult, M., Soille, P. & Loodts, J. (1990), ‘Mathematical morphology: a tool for automated GIS data acquisition from scanned thematic maps’, Photogramme- tric Engineering and Remote Sensing 56(9), 1263–1271.

    Google Scholar 

  • Banon, G. & Barrera, J. (1989), ‘Morphological filtering for stripping correction of SPOT images’, Photogrammetria (PRS) 43, 195–205.

    Article  Google Scholar 

  • Berman, M., Bischof, L., Breen, E. & Peden, G. (1994), ‘Image analysis for the material sciences—An overview’, Materials Forum 18, 1–19.

    Google Scholar 

  • Bilodeau, M. & Beucher, S. (1994), Road segmentation using a fast watershed algorithm, in J. Serra & P. Soille, eds, ‘ISMM’94: Mathematical morphology and its applications to image processing —Poster Contributions—Ecole des Mines de Paris, pp. 29–30.

    Google Scholar 

  • Bloomberg, D. & Maragos, P. (1990), Generalized hit-miss operations, in P. Gader, ed., ‘Image Algebra and Morphological Image Processing’, Vol. SPIE-1350, pp. 116–128.

    Google Scholar 

  • Bloomberg, D. & Vincent, L. (1995), Blur hit-miss transform and its use in document image pattern detection, in L. Vincent & H. Baird, eds, ‘Document Recognition II’, Vol. SPÏE-2422, pp. 278–292.

    Google Scholar 

  • Breen, E., Jones, R. h Talbot, H. (1998), ‘The morphological approach to industrial image analysis applications’, Acta Stereologica.

    Google Scholar 

  • Broggi, A. (1995), ‘Parallel and local feature extraction: a real-time approach to road boundary detection’, IEEE Transactions on Image Processing 4(2), 217- 223.

    Article  Google Scholar 

  • Cardillo, J. & Sid-Ahmed, M. (1996), ‘Target recognition in a cluttered scene using mathematical morphology’, Pattern Recognition 29(1), 27–49.

    Article  Google Scholar 

  • Casas, J., Esteban, P., Moreno, A. & Carrera, M. (1994), Morphological scheme for morphometric analysis of epidermal biopsy images, in J. Serra & P. Soille, eds, ‘Mathematical morphology and its applications to image processing’, Kluwer Academic Publishers, pp. 325–331.

    Chapter  Google Scholar 

  • Chermant, J.-L., Coster, M. &; Gougeon, G. (1987), ‘Shape analysis in R2 using mathematical morphology’, Journal of Microscopy 145(Pt 2), 143–157.

    Google Scholar 

  • Conan, V., Gesbert, S., Howard, C., Jeulin, D. & Meyer, F. (1991), ‘Geostatistical and morphological methods applied to three-dimensional microscopy’, Journal of Microscopy 166–2, 169–184.

    Google Scholar 

  • Decencière Ferrandière, E. (1996), Motion picture restoration using morphological tools, in P. Maragos, R. Schafer & M. Butt, eds, ‘Mathematical morphology and its applications to image and signal processing’, Kluwer Academic Publishers, Boston, pp. 361–368.

    Chapter  Google Scholar 

  • Destival, I. (1986), ‘Mathematical morphology applied to remote sensing’, Acta Astronautica 13(6/7), 371–385.

    Article  Google Scholar 

  • Gordon, G. & Vincent, L. (1992), Application of morphology to feature extraction for face recognition, in E. Dougherty, J. Astola &; G. Boncelet, eds, ‘Nonlinear Image Processing III’, Vol. SPIE-1658, pp. 151–164.

    Google Scholar 

  • Gratin, C. (1993), De la représentation des images au traitement morphologique d’images tridimensionnelles, PhD thesis, Ecole des Mines de Paris.

    Google Scholar 

  • Heijmans, H. & Roerdink, J., eds (1998), Mathematical morphology and its applications to signal and image processing /F, Kluwer Academic Publishers, Dordrecht.

    MATH  Google Scholar 

  • Higgins, W. & Ojard, E. (1993), ‘Interactive morphological watershed analysis for 3D medical images’, Computerized Medical Imaging and Graphics 17(4/5), 387–395.

    Article  Google Scholar 

  • Jeulin, D., Terol Villalobos, I. & Dubus, A. (1995), ‘Morphological analysis of UO2 powder using a dead leaves models’, Microscopy, Microanalysis, Micro structure 6, 371–384.

    Article  Google Scholar 

  • Jeulin, D., Vincent, L. & Serpe, G. (1992), ‘Propagation algorithms on graphs for physical applications’, Journal of Visual Communication and Image Representation 3(2), 161–181.

    Article  Google Scholar 

  • Klein, J.-C. & Peyrard, R. (1989), PIMM1, an image processing ASIC based on mathematical morphology, in ‘IEEE’s ASIC Seminar and Exhibit’, Rochester NY, pp. 25–28.

    Google Scholar 

  • Laitinen, T., Silven, O. h Pietikâinen, M. (1990), Morphological image processing for automated metal strip inspection, in P. Gader, ed., ‘Image Algebra and Morphological Image Processing’, Vol. SPIE-1350, pp. 241–250.

    Google Scholar 

  • Lake, C., Lougheed, R. k, Beyer, J. (1993), Morphological algorithm for ridge extraction in fingerprint images, in E. Dougherty, P. Gader & J. Serra, eds, ‘Image algebra and morphological image processing IV’, Vol. SPIE-2030, pp. 334–345.

    Google Scholar 

  • Lea, S. & Lybanon, M. (1993), ‘Automated boundary delineation in infrared ocean images’, IEEE Trans, on Geoscience and Remote Sensing 31, 1256–1260.

    Article  Google Scholar 

  • Liang, S., Ahmadi, M. & Shridhar, M. (1994), ‘A morphological approach to text string extraction from regular periodic overlapping text/background images’, Computer Vision, Graphics and Image Processing: Graphical Models and Image Processing 56(5), 402–413.

    Google Scholar 

  • Manders, E., Hoebe, R., Stackee, J., Vossepoel, A. & Aten, J. (1996), ‘Largest contour segmentation: a tool for the localization of spots in confocal images’, Cytometry 23, 15–21.

    Article  Google Scholar 

  • Maragos, P., Schaffer, W. & Butt, M., eds (1996), Mathematical Morphology and its Applications to Image and Signal Processing, Kluwer Academic Publishers.

    MATH  Google Scholar 

  • Marcotegui, B. k, Meyer, F. (1994), Morphological segmentation of image sequences, in J. Serra & P. Soille, eds, ‘Mathematical morphology and its applications to image processing’, Kluwer Academic Publishers, pp. 101–108.

    Chapter  Google Scholar 

  • Martel, C., Flouzat, G., Souriau, A. & Safa, F. (1989), ‘A morphological method of geometric analysis of images: application to the gravity anomalies in the indian ocean’, Journal of Geophysical Research 94(B2), 1715–1726.

    Article  Google Scholar 

  • Matsopoulos, G. & Marshall, S. (1995), ‘Application of morphological pyramids: fusion of MR and CT phantoms’, Journal of Visual Communication and Image Representation 6(2), 196–207.

    Article  Google Scholar 

  • Matsopoulos, G., Marshall, S. k Brunt, J. (1994), ‘Multiresolution morphological fusion of MR and CT images of the human brain’, IEE Proc.-Vis. Image Signal Process. 141, 3137–142.

    Article  Google Scholar 

  • Modayur, B., Ramesh, V., Haralick, R. & Shapiro, L. (1993), ‘MUSER: a prototype musical score recognition system using mathematical morphology’, Machine Vision and Applications 6, 140–150.

    Article  Google Scholar 

  • Müller, S. & Nickolay, B. (1994), Morphological image processing for the recognition of surface defects, in R.-J. Ahlers, D. Braggins & G. Kamerman, eds, ‘Automated 3-D and 2-D Vision’, Vol. SPIE-2249, pp. 298–307.

    Google Scholar 

  • Peyrard, R. (1992), Conception et mise en oeuvre d’un A.S.I.C de morphologie mathématique à architecture programmable, PhD thesis, Ecole des Mines de Paris.

    Google Scholar 

  • Pina, P., Selmaoui, N. & Amaral Fortes, M. (1996), Geometrical and topological characterization of cork cells by digital image analysis, in P. Maragos, R. Schafer & M. Butt, eds, ‘Mathematical morphology and its applications to image and signal processing’, Kluwer Academic Publishers, Boston, pp. 459–466.

    Chapter  Google Scholar 

  • Pirard, E. (1994), ‘Shape processing and analysis using the calypter’, Journal of Microscopy 175(3), 214–221.

    Article  Google Scholar 

  • Rivest, J.-F. & Fortin, R. (1996), ‘Detection of dim targets in digital infrared imagery by morphological image processing’, Optical Engineering 35(7), 1886–1893.

    Article  Google Scholar 

  • Rivest, J.-F., Beucher, S. & Delhomme, J. (1992), ‘Marker-controlled segmentation: an application to electrical borehole imaging’, Journal of Electronic Imaging 1(2), 136–142.

    Article  Google Scholar 

  • Rosen, B. & Vincent, L. (1994), ‘Morphological image processing techniques applied to detection of correlogram tracks’, U.S. Navy Journal of Underwater Acoustics 44(2), 571–586.

    Google Scholar 

  • Safa, F. & Flouzat, G. (1989), ‘Speckle removal on radar imagery based on mathematical morphology’, Signal Processing 16, 319–333.

    Article  Google Scholar 

  • Salembier, P., Brigger, P., Casas, J. & Pardàs, M. (1996), ‘Morphological operators for image and video compression’, IEEE Transactions on Image Processing 5(6), 881–898.

    Article  Google Scholar 

  • Schmitt, M. (1989), ‘Mathematical morphology and artificial intelligence: an automatic programming system’, Signal Processing 16, 389–401.

    Article  Google Scholar 

  • Schmitt, M. (1991), ‘Variations on a theme in binary morphology’, Journal of Visual Communication and Image Representation 2(3), 244–258.

    Article  Google Scholar 

  • Serra, J. & Salembier, P., eds (1993), Mathematical morphology and its applications to signal processing, Universität Politècnica de Catalunya, Barcelona.

    Google Scholar 

  • Serra, J. k Soille, P., eds (1994), Mathematical morphology and its applications to image processing, Vol. 2 of Computational Imaging and Vision, Kluwer Academic Publishers, Dordrecht.

    Google Scholar 

  • Skolnick, M. (1986), ‘Application of morphological transformations to the analysis of two-dimensional electrophoretic gels of biological materials’, Computer Vision, Graphics, and Image Processing 35, 306–332.

    Article  Google Scholar 

  • Szoplik, T., ed. (1996), Selected Papers on Morphological Image Processing: Principles and Optoelectronic Implementations, Vol. MS 127 of SPIE Milestones Series, Bellingham.

    Google Scholar 

  • Talbot, H. (1993), Analyse morphologique de fibres minérales d’isolation, PhD thesis, Ecole des Mines de Paris.

    Google Scholar 

  • Talbot, H. (1996), A morphological algorithm for linear segment detection, in P. Maragos, R. Schafer & M. Butt, eds, ‘Mathematical morphology and its applications to image and signal processing’, Kluwer Academic Publishers, Boston, pp. 219–226.

    Chapter  Google Scholar 

  • Talbot, H., Jeulin, D. & Hanton, D. (1996), ‘Image analysis of insulation mineral fibers’, Microsc. Microanal. Microstruct. 7, 361–368.

    Article  Google Scholar 

  • Thiran, J.-P. & Macq, B. (1996), ‘Morphological feature extraction for the classification of digital images of cancerous tissues’, IEEE Transactions on Biomedical Engineering 43(10), 1011–1020.

    Article  Google Scholar 

  • Vachier, C. (1995), Extraction de caractéristiques, segmentation d’images et morphologie mathématique, PhD thesis, Ecole des Mines de Paris.

    Google Scholar 

  • Viero, T. & Jeulin, D. (1995), ‘Morphological extraction of line networks from noisy low-contrast images’, Journal of Visual Communication and Image Representation 6(4), 335–347.

    Article  Google Scholar 

  • Vincent, L. & Masters, B. (1992), Morphological image processing and network analysis of cornea endothelial cell images, in P. Gader, E. Dougherty & J. Serra, eds, ‘Image algebra and morphological image processing III’, Vol. SPIE-1769, pp. 212–226.

    Google Scholar 

  • Whelan, P. & Batchelor, B. (1993), ‘Flexible packing of arbitrary two-dimensional shapes’, Optical Engineering 32(12), 3278–3287.

    Article  Google Scholar 

  • Whelan, P. & Batchelor, B. (1996), ‘Automated packing systems: A systems engineering approach’, IEEE Transactions on Systems, Man and Cybernetics 26(5), 533–544.

    Article  Google Scholar 

  • Yamada, H., Yamamoto, K. & Hosokawa, K. (1993), ‘Directional mathematical morphology and reformalized Hough transformation for the analysis of topographic maps’, IEEE Transactions on Pattern Analysis and Machine Intelligence 15(4), 380–387.

    Article  Google Scholar 

  • Zamperoni, P. (1989), ‘Wasserzeichenextraktion aus digitalisierten Bildern mit Methoden der digitalen Bildsignal Verarbeitung’, Das Papier 43(4), 133–143.

    Google Scholar 

  • Zehetbauer, S. Meyer-Gruhl, U. (1993), Segmentierung und Analyse drei- und vierdimensionaler Ultraschalldatensätze, in S. Pöppl H. Handels, eds, ‘Mustererkennung 1993’, Springer-Verlag, pp. 119–125.

    Google Scholar 

  • Zheng, X., Gong, P. & Strome, M. (1995), ‘Characterizing spatial structure of tree canopy using colour photographs and mathematical morphology’, Canadian Journal of Remote Sensing 21(4), 420–428.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Soille, P. (1998). Anwendungsgebiete. In: Morphologische Bildverarbeitung. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72190-8_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-72190-8_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-72191-5

  • Online ISBN: 978-3-642-72190-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics