MULTIRESOLUTION TEXTURE SIGNATURES USING MIN-MAX OPERATORS.

Michael Werman*, Peleg Shmuel

*Corresponding author for this work

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

4 Scopus citations

Abstract

For each picture a signature is generated by operating on it with different masks. The operations are a generalization to grey level images of 'shrink' and 'expand' of binary pictures using J. Serra's morphological methods. The signatures are sets of numbers, and can be used to analyze and discriminate textures. It is shown that this family of operators includes as private cases several currently used texture descriptors. A metric between matrices is also proposed that improved classification over ordinary distance.

Original languageAmerican English
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages97-99
Number of pages3
ISBN (Print)0818605456
StatePublished - 1984

Publication series

NameProceedings - International Conference on Pattern Recognition

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