Content-based image retrieval by a fuzzy scale-space approach

Michele Ceccarelli, Francesco Musacchia, Alfredo Petrosino

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Image descriptions aimed at the realization of content-based image retrieval (CBIR) should include the vagueness of both data representations and user queries. Here we show how multiscale textural gradient can be used as an efficient visual cue for image description. This feature has been already efficiently used in problems of image segmentation and texture separation. Our main idea is based on the assumption that, for image description, shape and textures should be considered together within a unified model. We report an efficient image description algorithm where the multiscale analysis is modeled by a differential morphological filter. Experiments with large image databases and comparisons with classical methods are reported.

Original languageEnglish
Pages (from-to)849-867
Number of pages19
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
Volume20
Issue number6
DOIs
Publication statusPublished - 1 Sep 2006
Externally publishedYes

Fingerprint

Image texture
Image retrieval
Image segmentation
Textures
Experiments

Keywords

  • Content-based image retrieval (CBIR)
  • Morphological gradient
  • Rough fuzzy sets
  • Scale-space analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Cite this

Content-based image retrieval by a fuzzy scale-space approach. / Ceccarelli, Michele; Musacchia, Francesco; Petrosino, Alfredo.

In: International Journal of Pattern Recognition and Artificial Intelligence, Vol. 20, No. 6, 01.09.2006, p. 849-867.

Research output: Contribution to journalArticle

@article{54188ff0c8454dd7b49b1a048294331f,
title = "Content-based image retrieval by a fuzzy scale-space approach",
abstract = "Image descriptions aimed at the realization of content-based image retrieval (CBIR) should include the vagueness of both data representations and user queries. Here we show how multiscale textural gradient can be used as an efficient visual cue for image description. This feature has been already efficiently used in problems of image segmentation and texture separation. Our main idea is based on the assumption that, for image description, shape and textures should be considered together within a unified model. We report an efficient image description algorithm where the multiscale analysis is modeled by a differential morphological filter. Experiments with large image databases and comparisons with classical methods are reported.",
keywords = "Content-based image retrieval (CBIR), Morphological gradient, Rough fuzzy sets, Scale-space analysis",
author = "Michele Ceccarelli and Francesco Musacchia and Alfredo Petrosino",
year = "2006",
month = "9",
day = "1",
doi = "10.1142/S0218001406005009",
language = "English",
volume = "20",
pages = "849--867",
journal = "International Journal of Pattern Recognition and Artificial Intelligence",
issn = "0218-0014",
publisher = "World Scientific Publishing Co. Pte Ltd",
number = "6",

}

TY - JOUR

T1 - Content-based image retrieval by a fuzzy scale-space approach

AU - Ceccarelli, Michele

AU - Musacchia, Francesco

AU - Petrosino, Alfredo

PY - 2006/9/1

Y1 - 2006/9/1

N2 - Image descriptions aimed at the realization of content-based image retrieval (CBIR) should include the vagueness of both data representations and user queries. Here we show how multiscale textural gradient can be used as an efficient visual cue for image description. This feature has been already efficiently used in problems of image segmentation and texture separation. Our main idea is based on the assumption that, for image description, shape and textures should be considered together within a unified model. We report an efficient image description algorithm where the multiscale analysis is modeled by a differential morphological filter. Experiments with large image databases and comparisons with classical methods are reported.

AB - Image descriptions aimed at the realization of content-based image retrieval (CBIR) should include the vagueness of both data representations and user queries. Here we show how multiscale textural gradient can be used as an efficient visual cue for image description. This feature has been already efficiently used in problems of image segmentation and texture separation. Our main idea is based on the assumption that, for image description, shape and textures should be considered together within a unified model. We report an efficient image description algorithm where the multiscale analysis is modeled by a differential morphological filter. Experiments with large image databases and comparisons with classical methods are reported.

KW - Content-based image retrieval (CBIR)

KW - Morphological gradient

KW - Rough fuzzy sets

KW - Scale-space analysis

UR - http://www.scopus.com/inward/record.url?scp=33749039495&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33749039495&partnerID=8YFLogxK

U2 - 10.1142/S0218001406005009

DO - 10.1142/S0218001406005009

M3 - Article

VL - 20

SP - 849

EP - 867

JO - International Journal of Pattern Recognition and Artificial Intelligence

JF - International Journal of Pattern Recognition and Artificial Intelligence

SN - 0218-0014

IS - 6

ER -