Hybrid Soft Computing for Multilevel Image and Data Segmentation
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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.
Explains important image processing approach Contributes to broader objective, the development of robust efficient fail-safe hybrid intelligent systems Valuable for researchers and graduate students in the domains of image processing and computational intelligence Includes supplementary material: sn.pub/extras
Autor*in
Sourav De
Themen in »Hybrid Soft Computing for Multilevel Image and Data Segmentation«
Segmentation Image Segmentation Clustering Optimization Multiobjective Optimization Soft Computing Genetic Algorithms Fuzzy Systems