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Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 601))

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Abstract

Edge detection is one of the most commonly used operations in computer vision, image processing and pattern recognition. The efficiency of these applications depends in many cases on the quality of detected edges. A color image edge detection method based on Sobel and Interval type-2 fuzzy system IT2FSs is presented in this paper. Color images provide more information than grayscale images. Thus, more edge information is expected from a color edge detector than a grayscale edge detector. The proposed method is applied over a database of color images that include synthetic and real images. The performance of the proposed method is compared with other edge detection algorithms such as Sobel combined with type-1 fuzzy systems T1FSs and the traditional Sobel operator.

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Acknowledgments

We thank the MyDCI program of the Division of Graduate Studies and Research, UABC, and the financial support provided by our sponsor CONACYT contract grant number: 44,524.

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Authors and Affiliations

  1. Autonomous University of Baja California, Tijuana, Mexico

    Claudia I. Gonzalez, Juan R. Castro & Olivia Mendoza

  2. Tijuana Institute of Technology, Tijuana, Mexico

    Patricia Melin & Oscar Castillo

Authors
  1. Claudia I. Gonzalez
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  2. Patricia Melin
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  3. Juan R. Castro
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  4. Olivia Mendoza
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  5. Oscar Castillo
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Corresponding author

Correspondence to Patricia Melin .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Gonzalez, C.I., Melin, P., Castro, J.R., Mendoza, O., Castillo, O. (2015). Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_1

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  • DOI: https://doi.org/10.1007/978-3-319-17747-2_1

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