Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Titre(s) : Hybrid soft computing for multilevel image and data segmentation [Texte électronique] / Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty... [et al.]
Publication : Cham : Springer international publishing AG, copyright 2016
Description matérielle : 1 ressource dématérialisée
Collection : Computational intelligence methods and applications
Lien à la collection : Computational intelligence methods and applications (Online)
Comprend : 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.
Note(s) : 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
Sujet(s) : Informatique douce
Traitement d'images -- Techniques numériques
Indice(s) Dewey :
006.03 (23e éd.) = Méthodes informatiques particulières - Dictionnaires et encyclopédies
Identifiants, prix et caractéristiques : ISBN 9783319475240. - ISBN 331947524X. - ISBN 9783319475233 (erroné). - ISBN 3319475231
(erroné)
Identifiant de la notice : ark:/12148/cb453455708
Notice n° :
FRBNF45345570
(notice reprise d'un réservoir extérieur)
