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Comparison of Fourier and normal angle descriptors for the content-based image retrieval

  • Pilar Hernández Mesa studied electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT). She is a Research Associate with the Institute of Industrial Information Technology (IIIT) at the KIT. Her research interests include signal and image processing, content-based image retrieval and pattern recognition.

    Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Hertzstraße 16, 76187 Karlsruhe, Germany, Tel.:+49-721-608-44415

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    Fernando Puente León is a Professor with the Department of Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany, where he heads the Institute of Industrial Information Technology (IIIT). From 2001 to 2002, he was with DS2, Valencia, Spain. From 2002 to 2003, he was a Postdoctoral Research Associate with the Institut für Mess- und Regelungstechnik, University of Karlsruhe. From 2003 to 2008, he was a Professor with the Department of Electrical Engineering and Information Technology, Technische Universität München, Germany. His research interests include image processing, automated visual inspection, information fusion, measurement technology, and pattern recognition.

    Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Hertzstraße 16, 76187 Karlsruhe, Germany, Tel.: +49-721-608-44521

Veröffentlicht/Copyright: 25. März 2016

Abstract

Appropriate methods are necessary to compare and search images automatically without using tags. In this work the retrieval of similar objects in images using the shape information is investigated. For this purpose, Fourier descriptors and the angles from the normal vectors along the boundaries of the objects are used as shape descriptors. Three different features are extracted from the Fourier descriptors to compare the objects. Three different distance functions are proposed to measure the similarity between the objects when the angles of the normal vectors are used as features. Finally, the appropriateness of these methods for the content-based image retrieval is compared at a commonly used database to test such cases.

Zusammenfassung

Für den automatischen Vergleich und die automatische Suche von Bildern ohne Verwendung von Beschreibungswörtern (tags) werden geeignete Methoden gebraucht. Die Sortierung von Objekten anhand deren Formähnlichkeit wird in diesem Beitrag untersucht. Formmerkmale, gewonnen aus Fourier-Koeffizienten und den Normalenrichtungen entlang der Kontur, werden hierfür verwendet. Drei unterschiedliche Merkmale aus den Fourier-Koeffizienten werden untersucht, um die Objekte miteinander zu vergleichen. Für den Fall, dass die Formmerkmale aus den Normalenrichtungen der Konturen gewonnen werden, werden drei unterschiedliche Ähnlichkeitsfunktionen untersucht, um die Ähnlichkeit zwischen den Objekten zu bestimmen. Die Eignung der Methoden für die inhaltsbasierte Bildsuche wird schließlich anhand einer häufig verwendeten Datenbank verglichen.

About the authors

Pilar Hernández Mesa

Pilar Hernández Mesa studied electrical engineering and information technology at the Karlsruhe Institute of Technology (KIT). She is a Research Associate with the Institute of Industrial Information Technology (IIIT) at the KIT. Her research interests include signal and image processing, content-based image retrieval and pattern recognition.

Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Hertzstraße 16, 76187 Karlsruhe, Germany, Tel.:+49-721-608-44415

Fernando Puente León

Fernando Puente León is a Professor with the Department of Electrical Engineering and Information Technology at Karlsruhe Institute of Technology, Germany, where he heads the Institute of Industrial Information Technology (IIIT). From 2001 to 2002, he was with DS2, Valencia, Spain. From 2002 to 2003, he was a Postdoctoral Research Associate with the Institut für Mess- und Regelungstechnik, University of Karlsruhe. From 2003 to 2008, he was a Professor with the Department of Electrical Engineering and Information Technology, Technische Universität München, Germany. His research interests include image processing, automated visual inspection, information fusion, measurement technology, and pattern recognition.

Karlsruhe Institute of Technology (KIT), Institute of Industrial Information Technology (IIIT), Hertzstraße 16, 76187 Karlsruhe, Germany, Tel.: +49-721-608-44521

Received: 2015-11-23
Accepted: 2016-1-15
Published Online: 2016-3-25
Published in Print: 2016-4-28

©2016 Walter de Gruyter Berlin/Boston

Heruntergeladen am 13.4.2026 von https://www.degruyterbrill.com/document/doi/10.1515/teme-2015-0107/html
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