Series: Computational Intelligence Methods and Applications. Num Pages: 235 pages, 60 black & white illustrations, 39 colour illustrations, 36 colour tables, biography. BIC Classification: UNA; UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 16. Weight in Grams: 543. . 2017. 1st ed. 2016. Hardback. . . . .

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Bibliographic Details

Title: Hybrid Soft Computing for Multilevel Image and Data Segmentation
Publisher: Springer International Publishing AG
Publication Date: 2017
Language: English
ISBN 10: 3319475231
ISBN 13: 9783319475233
Binding: Hardcover
Edition: 1st Edition
Condition: New

About this title

Synopsis

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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