Hybrid Soft Computing for Multilevel Image and Data Segmentation

This book explains efficient solutions for segmenting the intensity levels of different types of multilevel images. The authors present hybrid soft computing techniques, which have advantages over conventional soft computing solutions as they incorporate data heterogeneity into the clustering/segmen...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: De, Sourav (Autor), Bhattacharyya, Siddhartha (Autor), Chakraborty, Susanta (Autor), Dutta, Paramartha (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Computational Intelligence Methods and Applications,
Temas:
Artificial intelligence.
Computational intelligence.
Image processing-Digital techniques.
Computer vision.
Artificial Intelligence.
Computational Intelligence.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Image Segmentation: A Review
  • Self-supervised Gray Level Image Segmentation Using an Optimized MUSIG (OptiMUSIG) Activation Function
  • Self-supervised Color Image Segmentation Using Parallel OptiMUSIG (ParaOptiMUSIG) Activation Function
  • Self-supervised Gray Level Image Segmentation Using Multiobjective Based Optimized MUSIG (OptiMUSIG) Activation Function
  • Self-supervised Color Image Segmentation Using Multiobjective Based Parallel Optimized MUSIG (ParaOptiMUSIG) Activation Function
  • Unsupervised Genetic Algorithm Based Automatic Image Segmentation and Data Clustering Technique Validated by Fuzzy Intercluster Hostility Index.

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