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Image Threshold Using A-IFSs Based on Bounded Histograms

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Foundations of Fuzzy Logic and Soft Computing (IFSA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4529))

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Abstract

Atanassov’s intuitionistic fuzzy sets (A-IFSs) have been used recently to determine the optimal threshold value for gray-level image segmentation [1]. Atanassov’s intuitionistic fuzzy index values are used for representing the unknowledge/ignorance of an expert on determining whether a pixel of the image belongs to the background or the object of the image. This optimal global threshold of the image is computed automatically, regardless of the actual image analysis process.

Although global optimal thresholding techniques give good results under experimental conditions, when dealing with real images having several objects and the segmentation purpose is to point out some application-specific information, one should use heuristic techniques in order to obtain better thresholding results.

This paper introduces an evolution of the above mentioned technique intended for use with such images. The proposed approach takes into account the image and segmentation specificities by using a two-step procedure, with a restricted set of the image gray-levels.

Preliminary experimental results and comparison with other methods are presented.

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Authors and Affiliations

  1. CETAV – University of Trás-os-Montes e Alto Douro, Ap. 1014, 5001-911 Vila Real, Portugal

    Pedro Couto, Vitor Filipe & Pedro Melo-Pinto

  2. Departamento de Automática y Computación - Universidad Pública de Navarra, Campus de Arrosadía, s/n, 31006 Pamplona, Spain

    Humberto Bustince, Edurne Barrenechea & Miguel Pagola

Authors
  1. Pedro Couto
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  2. Humberto Bustince
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  3. Vitor Filipe
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  4. Edurne Barrenechea
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  5. Miguel Pagola
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  6. Pedro Melo-Pinto
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Editor information

Patricia Melin Oscar Castillo Luis T. Aguilar Janusz Kacprzyk Witold Pedrycz

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© 2007 Springer Berlin Heidelberg

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Couto, P., Bustince, H., Filipe, V., Barrenechea, E., Pagola, M., Melo-Pinto, P. (2007). Image Threshold Using A-IFSs Based on Bounded Histograms. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds) Foundations of Fuzzy Logic and Soft Computing. IFSA 2007. Lecture Notes in Computer Science(), vol 4529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72950-1_10

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  • DOI: https://doi.org/10.1007/978-3-540-72950-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72917-4

  • Online ISBN: 978-3-540-72950-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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