Pub. Date:
Springer International Publishing
Advances in Soft Computing and Machine Learning in Image Processing

Advances in Soft Computing and Machine Learning in Image Processing

by Aboul Ella Hassanien, Diego Alberto OlivaAboul Ella Hassanien


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This book is a collection of the latest applications of methods from soft computing and machine learning in image processing. It explores different areas ranging from image segmentation to the object recognition using complex approaches, and includes the theory of the methodologies used to provide an overview of the application of these tools in image processing.

The material has been compiled from a scientific perspective, and the book is primarily intended for undergraduate and postgraduate science, engineering, and computational mathematics students. It can also be used for courses on artificial intelligence, advanced image processing, and computational intelligence, and is a valuable resource for researchers in the evolutionary computation, artificial intelligence and image processing communities.

Product Details

ISBN-13: 9783319637532
Publisher: Springer International Publishing
Publication date: 10/18/2017
Series: Studies in Computational Intelligence , #730
Edition description: 1st ed. 2018
Pages: 718
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

Color Spaces Advantages and Disadvantages in Image Color Clustering Segmentation.- Multi-objective Whale Optimization Algorithm for Multi-level Thresholding Segmentation.- Evaluating Swarm Optimization Algorithms for Segmentation of Liver Images.- Thermal Image Segmentation Using Evolutionary Computation Techniques.- News Videos Segmentation Using Dominant Colors Representation.

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