Hybrid Soft Computing for Multilevel Image and Data Segmentation
Sourav De, Susanta Chakraborty, Paramartha Dutta, et al.
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ca. 96,29 €
Springer International Publishing 
Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
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.
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Schlagwörter
Clustering, Soft Computing, Segmentation, Image Segmentation, Multiobjective Optimization, Genetic Algorithms, Optimization, Fuzzy Systems