A fuzzy scale-space approach to feature-based image representation and retrieval

Michele Ceccarelli, F. Musacchia, A. Petrosino

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

5 Citations (Scopus)

Abstract

We propose an image indexing and retrieval method which is based on the multiscale image analysis theory in conjunction with fuzzy image feature extraction. The main idea is based on the assumption that the fundamental cues for image description such as shape and textures should be considered together within a unified model. Here the multiscale analysis is modeled by a differential morphological filter, arid the feature are extracted by a multiscale fuzzy gradient operation applied to the detail images, which are the differences between images at successive scales. Experiments with large image databased and comparisons with classical methods are reported.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages377-385
Number of pages9
Volume3704 LNCS
DOIs
Publication statusPublished - 1 Dec 2005
Externally publishedYes
Event1st International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2005 - Naples, Italy
Duration: 19 Oct 200521 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3704 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st International Symposium on Brain, Vision, and Artificial Intelligence, BVAI 2005
CountryItaly
CityNaples
Period19/10/0521/10/05

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Ceccarelli, M., Musacchia, F., & Petrosino, A. (2005). A fuzzy scale-space approach to feature-based image representation and retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3704 LNCS, pp. 377-385). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3704 LNCS). https://doi.org/10.1007/11565123_36