Description: Hybrid Soft Computing for Multilevel Image and Data Segmentation, Hardcover by De, Sourav; Bhattacharyya, Siddhartha; Chakraborty, Susanta; Dutta, Paramartha, ISBN 3319475231, ISBN-13 9783319475233, Like New Used, Free shipping in the US 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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Book Title: Hybrid Soft Computing for Multilevel Image and Data Segmentation
Number of Pages: Xiv, 235 Pages
Publication Name: Hybrid Soft Computing for Multilevel Image and Data Segmentation
Language: English
Publisher: Springer International Publishing A&G
Publication Year: 2016
Subject: Engineering (General), Hardware / General, Intelligence (Ai) & Semantics, Data Processing, Databases / Data Mining, Computer Vision & Pattern Recognition
Type: Textbook
Item Weight: 177.4 Oz
Item Length: 9.3 in
Author: Sourav De, Paramartha Dutta, Susanta Chakraborty, Siddhartha Bhattacharyya
Subject Area: Computers, Technology & Engineering
Item Width: 6.1 in
Series: Computational Intelligence Methods and Applications Ser.
Format: Hardcover
