CIIP 2016 : Computational Intelligence in Image Processing 2016 (Mathematical Problems in Engineering, Journal Citation Reports JCR, IF= 0.762)
Call For Papers
Special Issue "Computational Intelligence in Image Processing 2016" (Mathematical Problems in Engineering, Journal Citation Reports JCR, IF= 0.762).
Call for Papers
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:
Metaheuristics (evolutionary algorithms, simulated annealing, tabu search, ant colony optimization, particle swarm optimization, harmony search, bee colony optimization, etc.)
Coding and compression
Sampling and interpolation
Quantization and halftoning
Filtering and enhancement
Edge detection and segmentation
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
according to the following timetable:
Manuscript DueFriday, 4 March 2016
First Round of Reviews Friday, 27 May 2016
Publication Date Friday, 22 July 2016
Considering our review publishing policy, the articles are processed as they ingresses in our system. Therefore, it is common that articles sent earlier of the deadline could be accepted even before the deadline has been reached.
Lead Guest Editor
Erik Cuevas, Department of Electronics, University of Guadalajara, 44100 Guadalajara, JAL, Mexico
Daniel Zaldivar, Department of Electronics, University of Guadalajara, 44100 Guadalajara, JAL, Mexico
Gonzalo Pajares, Universidad Complutense de Madrid, 28040 Madrid, Spain
Marco Perez-Cisneros, Department of Electronics, University of Guadalajara, 44100 Guadalajara, JAL, Mexico
Raul Rojas, Institut für Informatik, Freie Universität Berlin, 14195 Berlin, Germany