Abstract
The multilevel greyscale image can efficiently be segmented by the OptiMUSIG activation function with the help of the multilayer self-organizing neural network (MLSONN) architecture.
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De, S., Bhattacharyya, S., Chakraborty, S., Dutta, P. (2016). Self-supervised Grey Level Image Segmentation Using Multi-Objective-Based Optimised MUSIG (OptiMUSIG) 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_5
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DOI: https://doi.org/10.1007/978-3-319-47524-0_5
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-47524-0
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