Hybrid Metaheuristics for Image Analysis

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Artificial Intelligence, General Computing
Cover of the book Hybrid Metaheuristics for Image Analysis by , Springer International Publishing
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Author: ISBN: 9783319776255
Publisher: Springer International Publishing Publication: July 30, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319776255
Publisher: Springer International Publishing
Publication: July 30, 2018
Imprint: Springer
Language: English

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.

The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how problems such as image segmentation, edge detection, face recognition, feature extraction, and image contrast enhancement can be solved using techniques such as genetic algorithms and particle swarm optimization.

The contributions provide a multidimensional approach, and the book will be useful for researchers in computer science, electrical engineering, and information technology.

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