TY  - BOOK
AU  - De,Sourav
AU  - Bhattacharyya,Siddhartha
AU  - Chakraborty,Susanta
AU  - Dutta,Paramartha
ED  - SpringerLink (Online service)
TI  - Hybrid Soft Computing for Multilevel Image and Data Segmentation
T2  - Computational Intelligence Methods and Applications,
SN  - 9783319475240
AV  - Q334-342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer graphics
KW  - Computational intelligence
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Computational Intelligence
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
N1  - 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
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-47524-0
ER  -