Morphological hat-transform scale spaces and their use in texture classification

Andrei C. Jalba, J.B.T.M. Roerdink, M.H.F. Wilkinson

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

5 Citations (Scopus)

Abstract

In this paper we present a multiscale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two scale-space representations are built. The most important features are extracted from the scale spaces by unsupervised cluster analysis, and the resulting pattern vectors provide the input of a decision tree classifier. We obtain 93.5 % correct classification for the Brodatz texture database.
Original languageEnglish
Title of host publicationProceedings of the 2003 International Conference on Image Processing (ICIP 2003)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages329-332
Number of pages4
ISBN (Print)0-7803-7750-8
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event10th IEEE International Conference on Image Processing (ICIP 2003) - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003
Conference number: 10

Conference

Conference10th IEEE International Conference on Image Processing (ICIP 2003)
Abbreviated titleICIP 2003
CountrySpain
CityBarcelona
Period14/09/0317/09/03

Fingerprint Dive into the research topics of 'Morphological hat-transform scale spaces and their use in texture classification'. Together they form a unique fingerprint.

  • Cite this

    Jalba, A. C., Roerdink, J. B. T. M., & Wilkinson, M. H. F. (2003). Morphological hat-transform scale spaces and their use in texture classification. In Proceedings of the 2003 International Conference on Image Processing (ICIP 2003) (pp. 329-332). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIP.2003.1246965