Hybrid Soft Computing for Multilevel Image and Data Segmentation
De, Sourav 1979-
Hybrid Soft Computing for Multilevel Image and Data Segmentation by Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta. - Cham, Switzerland Springer 2016 - 1 recurso en línea (XIV, 235 p.) 99 ilustraciones, 39 ilustraciones en color - Computational Intelligence Methods and Applications 2510-1765 . - Computational Intelligence Methods and Applications .
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.
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.
9783319475240
10.1007/978-3-319-47524-0 doi
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Visión por ordenador
TA1632 / .D476 2016 EB
Hybrid Soft Computing for Multilevel Image and Data Segmentation by Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta. - Cham, Switzerland Springer 2016 - 1 recurso en línea (XIV, 235 p.) 99 ilustraciones, 39 ilustraciones en color - Computational Intelligence Methods and Applications 2510-1765 . - Computational Intelligence Methods and Applications .
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.
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.
9783319475240
10.1007/978-3-319-47524-0 doi
Gráficos de ordenador
Visión por ordenador
TA1632 / .D476 2016 EB