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Self-supervised Colour Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function

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Part of the book series: Computational Intelligence Methods and Applications ((CIMA))

Abstract

In Chap. 4, it has been illustrated and proved that the colour images are efficiently segmented by the ParaOptiMUSIG [193, 258, 273] activation function in connection with the parallel self-organizing neural network (PSONN) [195, 196] architecture.

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Correspondence to Sourav De .

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De, S., Bhattacharyya, S., Chakraborty, S., Dutta, P. (2016). Self-supervised Colour Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function. In: Hybrid Soft Computing for Multilevel Image and Data Segmentation. Computational Intelligence Methods and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-47524-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-47524-0_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47523-3

  • Online ISBN: 978-3-319-47524-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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