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Hybrid Soft Computing for Multilevel Image and Data Segmentation

Hybrid Soft Computing for Multilevel Image and Data Segmentation

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.

Juni 2018, ca. 235 Seiten, Computational Intelligence Methods and Applications, Englisch
Springer EN
978-3-319-83758-1

Weitere Titel der Reihe: Computational Intelligence Methods and Applications

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