[robotics-worldwide] [news] Call for Chapters:Advances in Soft Computing and Machine Learning in Image Processing

DIEGO A. OLIVA NAVARRO kidaol at gmail.com
Fri Nov 4 10:47:49 PDT 2016

Call for Book Chapters


Book titled:
Advances in Soft Computing and Machine Learning in Image Processing

To be published by Intelligent Systems Reference Library by Springer

Nowadays the use of digital images and videos has been extended to
different fields as surveillance, manufacturing, medicine, agriculture,
etc. They are easy to obtain from various environments, and it is necessary
to recognize the objects contained in the scenes. In order to achieve this
goal, several computational approaches have been developed. However,
considering the technological advances problems as image size, noise,
illumination and the ones proper from the scenes, it is necessary to
develop new methodologies and improve the classical algorithms. On the
other hand, a tendency is that the computer vision and image processing
systems should be able to automatic extract the desired features for a
particular task. Computational Intelligence (CI) approaches are alternative
solutions to for automatic computer vision and image processing systems;
they include the use of tools as machine learning and soft computing.
Researchers from all over the world are working hard creating new
algorithms that combine the methods provided by computational intelligence
to solve the problems of image processing and computer vision.
This Book aims to provide a collection of high quality research works that
address broad challenges in both theoretical and application aspects of
soft computing and machine leering in image processing and computer vision.
We invite colleagues to contribute original book chapters that will
stimulate the continuing effort on the application of CI 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.
Besides the main topic covering all related Soft Computing and Machine
Learning in Image Processing
Topics of interest include, but are not limited to, the following:

 Machine Learning
 Computer vision
 Soft Computing
 Image processing
 Evolutionary Computation Algorithms
 Swarm Optimization
 Image thresholding
 Multilevel segmentation
 Object recognition
 Coding and compression
 Sampling and interpolation
 Quantization and halftoning
 Quality assessment
 Filtering and enhancement
 Morphology
 Edge detection and segmentation
 Feature extraction
 Quantum Image Processing
 Applications
Chapter Submission
Submitted manuscripts should conform to the standard guidelines of the
Springer's book chapter format. Manuscripts must be prepared using Latex,
Word is not accepted, and according to the Springer's svmlt 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: (doliva at ucm.es),
with the subject title as: "Soft Computing and Machine Learning in 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: November 30, 2016 (Tentative)
First round notification: Feb. 15, 2017
Camera-ready submission: March 25, 2017
Publication date: 2nd quarter of 2017

Volume editors
Aboul Ella Hassanien
Scientific Research Group in Egypt (SRGE) www.egyptsceince.net
Faculty of Computers & Information, Cairo University, Cairo, Egypt
Email: aboitcairo at gmail.com

Diego Oliva
Departamento de Ciencias Computacionales, Tecnológico de Monterrey, Campus
Guadalajara, México. diego.oliva at itesm.mx, doliva at ucm.es
Departamento de Electrónica
Universidad de Guadalajara, CUCEI, México

Dr. Diego Oliva

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