Hybrid Soft Computing for Multilevel Image and Data Segmentation

Buch | Hardcover
XIV, 235 Seiten
2016 | 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-47523-3 (ISBN)

Lese- und Medienproben

Hybrid Soft Computing for Multilevel Image and Data Segmentation - Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
128,39 inkl. MwSt

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/segmentation procedures.

This is a useful introduction and reference for researchers and graduate students of computer science and electronics engineering, particularly in the domains of image processing and computational intelligence.

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.

Erscheinungsdatum
Reihe/Serie Computational Intelligence Methods and Applications
Zusatzinfo XIV, 235 p. 99 illus., 39 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Schlagworte Artificial Intelligence • artificial intelligence (incl. robotics) • Clustering • Computational Intelligence • Computer Imaging, Vision, Pattern Recognition and • Computer Science • computer vision • Fuzzy Systems • Genetic algorithms • Image Segmentation • Multiobjective Optimization • Optimization • Robotics • Segmentation • Soft Computing
ISBN-10 3-319-47523-1 / 3319475231
ISBN-13 978-3-319-47523-3 / 9783319475233
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Modelle für 3D-Druck und CNC entwerfen

von Lydia Sloan Cline

Buch | Softcover (2022)
dpunkt (Verlag)
34,90
Einstieg und Praxis

von Werner Sommer; Andreas Schlenker

Buch | Softcover (2023)
Markt + Technik (Verlag)
19,95