Wednesday, May 22, 2019

[DMANET] Call for book Chapters AHMIP2019 Springer

Dear Researchers,

I would like to share with you the following call for chapters.
All your contributions are welcome.

Call for Book Chapters
Applications of Hybrid Metaheuristic Algorithms for Image Processing
To be published by Studies in Computational Intelligence by Springer


The segmentation of images is a critical task for computer vision
applications. The objective is to generate segmented images as fast and
accurate as possible. However, due to the complex nature of digital images,
the segmentation is not a trivial task. Metaheuristic Algorithms (MA) have
been used to perform image segmentation over the last decade with
interesting results. Usually, MAs can behave in two forms; exploration, and
exploitation. The exploration phase is used to diversify the solutions
along the search space to avoid local stagnation, while the exploitation
phase intensifies the search in a region to ensure convergence. The
performance of many MAs is limited by its operators. In some cases, the
operators that control the algorithm have proved to be very efficient, but
its interaction with different approaches can further enhance its
performance. The hybridization of MAs is a new tendency where two or more
algorithms are merged to generate better results. Usually, the
hybridization can take two forms; sequential use of algorithms, and the
replacement of operators. In the first case, two MA are run in sequence to
firstly explore with an algorithm and then perform exploitation on the
later; however, this approach can significantly increase the number of
iterations required to converge. In the second case, the operators of two
or more algorithms are mixed together provide a better balance between the
intensification and diversification of the solutions without increasing the
number of iterations.

This Book aims to provide a collection of high-quality research works that
address broad challenges in both theoretical and application aspects of
hybrid metaheuristic algorithms in image processing and computer vision. We
invite colleagues to contribute original book chapters that will stimulate
the continuing effort on the application of hybrid MAs approaches to solve
image-processing problems and computer vision problems.

We invite all researchers and practitioners who are developing algorithms,
systems, and applications, to share their results, ideas, and experiences.

Topics of interest include, but are not limited to, the following:

Hybrid Metaheuristics
Theoretical aspects of hybridization
Automated parameter tuning
Evolutionary Computation Algorithms
Swarm Optimization
Multi-objective optimization
Multilevel segmentation
Object recognition
Computer vision
Image processing
Filtering and enhancement
Edge detection and segmentation
Feature extraction
Quantum Image Processing
Image thresholding
Chapter Submission

Submitted manuscripts should conform to the standard guidelines of the
Springer's book chapter format. Manuscripts must be prepared using Latex or
Word according to the Springer's template that can be downloaded from the
(link). Manuscripts that do not follow the formatting rules will be
ignored. Prospective authors should send their manuscripts electronically
to the following email address: and/or ,
with the subject title as: "Applications of Hybrid Metaheuristic Algorithms
for Image Processing – Book Chapter" in PDF. Submitted manuscripts will be
refereed by at least two independent and expert reviewers for quality,
correctness, originality, and relevance. The accepted contributions will be
published in Intelligent Systems Reference Library by Springer. More
information about Intelligent Systems Reference Library can be found (here).

Publication Schedule

The tentative schedule of the book publication is as follows:

Deadline for paper submission: June 30, 2019 (it could be extended)
First round notification: August 2019
Camera-ready submission: September 2019
Publication date: 1st quarter of 2020

Volume Editors

Diego Oliva
Departamento de Ciencias Computacionales, Universidad de Guadalajara,
CUCEI, México,

Salvador Hinojosa
Facultad de Informática, Universidad Complutense de Madrid, Madrid, Spain

More information:

Dr. Diego Oliva <http://www,>

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