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Colour Sensitive Image Segmentation Using Quaternion Algebra

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Computer Vision and Image Processing (CVIP 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1147))

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Abstract

In colour image segmentation, a few vector filters are useful, and they are not well applicable. The segmentation tools which are still available, not also colour sensitive. In this paper, we present an approach for color sensitive segmentation method by using the color sensitivity property of hyper complex or quaternion algebra. The filter is based on quaternion convolution and impulse response is determined using modified gray centered RGB color cube. This method demands that every color can be segmented by choosing suitable impulse response.

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Author information

Authors and Affiliations

  1. ARC Document Solution, Kolkata, India

    Sandip Kumar Maity

  2. Indian Institute of Technology, Kharagpur, India

    Prabir Biswas

Authors
  1. Sandip Kumar Maity
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  2. Prabir Biswas
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Correspondence to Prabir Biswas .

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Editors and Affiliations

  1. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Neeta Nain

  2. Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Santosh Kumar Vipparthi

  3. Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

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Maity, S.K., Biswas, P. (2020). Colour Sensitive Image Segmentation Using Quaternion Algebra. In: Nain, N., Vipparthi, S., Raman, B. (eds) Computer Vision and Image Processing. CVIP 2019. Communications in Computer and Information Science, vol 1147. Springer, Singapore. https://doi.org/10.1007/978-981-15-4015-8_31

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  • DOI: https://doi.org/10.1007/978-981-15-4015-8_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4014-1

  • Online ISBN: 978-981-15-4015-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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