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Hybrid Soft Computing for Multilevel Image and Data Segmentation / / by Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta



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Autore: De Sourav Visualizza persona
Titolo: Hybrid Soft Computing for Multilevel Image and Data Segmentation / / by Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XIV, 235 p. 99 illus., 39 illus. in color.)
Disciplina: 621.367
Soggetto topico: Artificial intelligence
Computational intelligence
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computational Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Persona (resp. second.): BhattacharyyaSiddhartha
ChakrabortySusanta
DuttaParamartha
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Hybrid Soft Computing for Multilevel Image and Data Segmentation  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910155273703321
Lo trovi qui: Univ. Federico II
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Serie: Computational Intelligence Methods and Applications, . 2510-1773