A nonlinear texture operator specialised in the analysis of dot-patterns

P. Kruizinga, N. Petkov

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

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Abstract

The performance of two well-known texture operators (based on Gabor energy and the cooccurrence matrix) is compared with the performance of a new biologically motivated texture operator; the dot-pattern selective cell operator: The comparison is made using a quantitative method based on the Mahalanobis distance. Together with some classification experiments the comparison shows a clear superiority of the new operator in dot-pattern texture problems.

Original languageEnglish
Title of host publication15TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 1, PROCEEDINGS
EditorsA Sanfeliu, JJ Villanueva, M Vanrell, R Alquezar, JO Eklundh, Y Aloimonos
Place of PublicationLOS ALAMITOS
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Pages197-201
Number of pages5
ISBN (Print)0-7695-0751-4
Publication statusPublished - 2000
Event15th International Conference on Pattern Recognition (ICPR-2000) - , Spain
Duration: 3-Sep-20007-Sep-2000

Publication series

NameINTERNATIONAL CONFERENCE ON PATTERN RECOGNITION
PublisherIEEE COMPUTER SOC
ISSN (Print)1051-4651

Other

Other15th International Conference on Pattern Recognition (ICPR-2000)
Country/TerritorySpain
Period03/09/200007/09/2000

Keywords

  • ORIENTED TEXTURE
  • SEGMENTATION
  • FEATURES
  • IMAGES

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