Bhattacharyya Hybrid Metaheuristics for Image Analysis

Hybrid Metaheuristics for Image Analysis

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Beschreibung

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.


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.


Contributions provide a multidimensional approach Useful for researchers in computer science, electrical engineering, and information technology Explains various soft computing techniques

Autor*in

Siddhartha Bhattacharyya

Themen in »Hybrid Metaheuristics for Image Analysis«

Hybrid Metaheuristics Soft Computing Image Analysis Image Thresholding Image Segmentation Evolutionary Computing Computational Intelligence

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Details

ISBN: 9783319776255
Verlag: Springer International Publishing
Erscheinung: 30.07.2018

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