Mathematical Problems in Engineering (JCR impact Factor 0.777) SI on Computational Intelligence in Image Processing


Vision in general and images in particular have always played an essential role in human life. In the past they were, today they are, and in the future they will continue to be one of our most important information carriers. Recent advances in digital imaging and computer hardware technology have led to an explosion in the use of digital images in a variety of scientific and engineering applications. These applications result from the interaction between fundamental scientific research on the one hand, and the development of new and high-standard technology on the other hand.

Computational intelligence has emerged as powerful tools for information processing, decision making, and knowledge management. The techniques of computational intelligence have been successfully developed in areas such as neural networks, fuzzy systems, and evolutionary algorithms. It is predictable that in the near future computational intelligence will play a more and more important role in tackling several engineering problems.

Image processing is a very important research area. Classical image processing methods often face great difficulties while dealing with images containing noise and distortions. Under such conditions, the use of computational intelligence approaches has been recently extended to address challenging real-world image processing problems. This special issue aims to provide a collection of high quality research articles that address broad challenges in both theoretical and application aspects of computational intelligence in image processing. We invite colleagues to contribute original research articles as well as review articles that will stimulate the continuing effort on the application of computational intelligence approaches to solve image processing problems. Potential topics include, but are not limited to:

The use of computational intelligence techniques such as:

Neural networks
Fuzzy logic
Rough sets
Metaheuristics (evolutionary algorithms, simulated annealing, tabu search, ant colony optimization, particle swarm optimization, harmony search, bee colony optimization, etc.)
Expert systems

in/for

Coding and compression
Sampling and interpolation
Quantization and halftoning
Quality assessment
Filtering and enhancement
Morphology
Edge detection and segmentation
Feature extraction
Indexing and retrieval

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/mpe/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/mpe/ciip/ according to the following timetable:

Manuscript Due Friday, 19 July 2013
First Round of Reviews Friday, 11 October 2013
Publication Date Friday, 6 December 2013

Lead Guest Editor

Erik Cuevas, Department of Electronics, University of Guadalajara (CUCEI), 44100 Guadalajara, JAL, Mexico

Guest Editors

Daniel Zaldivar, Department of Electronics, University of Guadalajara (CUCEI), 44100 Guadalajara, JAL, Mexico

Gonzalo Pajares, Universidad Complutense de Madrid, 28040 Madrid, Spain

Marco Perez-Cisneros, Department of Electronics, University of Guadalajara (CUCEI), 44100 Guadalajara, JAL, Mexico

Raul Rojas, Institut für Informatik, Freie Universität Berlin, 14195 Berlin, Germany