Sourav De,
Siddhartha Bhattacharyya,
Susanta Chakraborty,
Paramartha Dutta
e.a.
Springer International Publishing
e druk, 2016
9783319475233
Hybrid Soft Computing for Multilevel Image and Data Segmentation
Specificaties
Gebonden, blz.
|
Engels
Springer International Publishing |
e druk, 2016
ISBN13: 9783319475233
Rubricering
Onderdeel van serie
Computational Intelligence Methods and Applications
Verwachte levertijd ongeveer 9 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9783319475233
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing
Inhoudsopgave
<p>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.</p>