Hybrid Soft Computing for Image Segmentation

This book proposes soft computing techniques for segmenting real-life images in applications such as image processing, image mining, video surveillance, and intelligent transportation systems. The book suggests hybrids deriving from three main approaches: fuzzy systems, primarily used for handling r...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Bhattacharyya, Siddhartha (Editor ), Dutta, Paramartha (Editor ), De, Sourav (Editor ), Klepac, Goran (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
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:
  • Hybrid Soft Computing Techniques for Image Segmentation: Fundamentals and Applications
  • Enhanced Rough-Fuzzy C-Means Algorithm for Image Segmentation
  • Intuitionistic Fuzzy C-means Clustering Algorithm for Brain Image Segmentation
  • Automatic Segmentation Approaches
  • Modified Level Set Segmentation
  • Fuzzy Deformable Models for 3D Segmentation of Brain Structures
  • Rough Sets for Probabilistic Model Based Image Segmentation
  • Segmentation of Cerebral Images. .

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