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Soft Computing and Image Analysis: Features, Relevance and Hybridization

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Soft Computing for Image Processing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 42))

Abstract

The relevance of integrating the merits of different soft computing tools for designing efficient image processing and analysis systems is explained. The feasibility of such systems and different ways of integration, so far made, are described. Scope for further research and development is outlined. An extensive bibliography is also provided.

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Authors and Affiliations

  1. Machine Intelligence Unit, 203 B. T. Road, Calcutta, 700035, India

    Sankar K. Pal, Ashish Ghosh & Malay K. Kundu

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  1. Sankar K. Pal
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  2. Ashish Ghosh
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  3. Malay K. Kundu
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Editors and Affiliations

  1. Machine Intelligence Unit, Indian Statistical Institute, 203 B. T. Road, Calcutta, 700035, India

    Sankar K. Pal , Ashish Ghosh  & Malay K. Kundu ,  & 

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Pal, S.K., Ghosh, A., Kundu, M.K. (2000). Soft Computing and Image Analysis: Features, Relevance and Hybridization. In: Pal, S.K., Ghosh, A., Kundu, M.K. (eds) Soft Computing for Image Processing. Studies in Fuzziness and Soft Computing, vol 42. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1858-1_1

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  • DOI: https://doi.org/10.1007/978-3-7908-1858-1_1

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2468-1

  • Online ISBN: 978-3-7908-1858-1

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