Hybrid Soft Computing for Multilevel Image and Data Segmentation

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Hybrid Soft Computing for Multilevel Image and Data Segmentation by Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta, Springer International Publishing
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Author: Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta ISBN: 9783319475240
Publisher: Springer International Publishing Publication: November 25, 2016
Imprint: Springer Language: English
Author: Sourav De, Siddhartha Bhattacharyya, Susanta Chakraborty, Paramartha Dutta
ISBN: 9783319475240
Publisher: Springer International Publishing
Publication: November 25, 2016
Imprint: Springer
Language: English

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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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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