Modelling by fuzzy approach uncertainties in image analysis

E. Pap, Djordje Obradovic, Zora Konjovic

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Investigating some objects in all areas, they are mapped to the digital raster image using different kinds of sensors, the obtained image is only an approximation to the realworld object. Due to imperfections in either the image data or the edge detector, there may be missing points or pixels on lines as well as spatial deviations between ideal line and the set of imprecise points obtained from the edge detector. The overall effect is an image that has some distortion in its geometry. In this paper it is presented a mathematical model based on fuzzy sets. In this way there covered these uncertainties, and it is obtained correct interpretation and important decisions in different important areas as image analysis (imprecise feature extraction), GIS (imprecise spatial object modelling), robotics (environment models), and in medicine (DICOM medical images).

Original languageEnglish
Title of host publicationCINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11-14
Number of pages4
ISBN (Print)9781479953387
DOIs
Publication statusPublished - Jan 30 2014
Event15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014 - Budapest, Hungary
Duration: Nov 19 2014Nov 21 2014

Other

Other15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014
CountryHungary
CityBudapest
Period11/19/1411/21/14

Fingerprint

Image analysis
Digital Imaging and Communications in Medicine (DICOM)
Detectors
Fuzzy sets
Geographic information systems
Medicine
Feature extraction
Robotics
Pixels
Mathematical models
Defects
Geometry
Sensors
Uncertainty

Keywords

  • DICOM medical images
  • fuzzy line
  • fuzzy point
  • fuzzy triangle
  • GIS
  • Image analysis
  • linear fuzzy space

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Information Systems

Cite this

Pap, E., Obradovic, D., & Konjovic, Z. (2014). Modelling by fuzzy approach uncertainties in image analysis. In CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings (pp. 11-14). [7028660] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CINTI.2014.7028660

Modelling by fuzzy approach uncertainties in image analysis. / Pap, E.; Obradovic, Djordje; Konjovic, Zora.

CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 11-14 7028660.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pap, E, Obradovic, D & Konjovic, Z 2014, Modelling by fuzzy approach uncertainties in image analysis. in CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings., 7028660, Institute of Electrical and Electronics Engineers Inc., pp. 11-14, 15th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2014, Budapest, Hungary, 11/19/14. https://doi.org/10.1109/CINTI.2014.7028660
Pap E, Obradovic D, Konjovic Z. Modelling by fuzzy approach uncertainties in image analysis. In CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 11-14. 7028660 https://doi.org/10.1109/CINTI.2014.7028660
Pap, E. ; Obradovic, Djordje ; Konjovic, Zora. / Modelling by fuzzy approach uncertainties in image analysis. CINTI 2014 - 15th IEEE International Symposium on Computational Intelligence and Informatics, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 11-14
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