Hybrid Intelligence for Image Analysis and Understanding

Hybrid Intelligence for Image Analysis and Understanding
Author: Siddhartha Bhattacharyya
Publisher: John Wiley & Sons
Total Pages: 467
Release: 2017-07-27
Genre: Technology & Engineering
ISBN: 1119242932


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A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features: Provides in-depth analysis of hybrid intelligent paradigms. Divided into self-contained chapters. Provides ample case studies, illustrations and photographs of real-life examples to illustrate findings and applications of different hybrid intelligent paradigms. Offers new solutions to recent problems in computer science, specifically in the application of hybrid intelligent techniques for image analysis and understanding, using well-known contemporary algorithms. The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science.


Hybrid Intelligence for Image Analysis and Understanding
Language: en
Pages: 467
Authors: Siddhartha Bhattacharyya
Categories: Technology & Engineering
Type: BOOK - Published: 2017-07-27 - Publisher: John Wiley & Sons

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A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on
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Type: BOOK - Published: 2020-03-05 - Publisher: Academic Press

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Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing an