Mathematical Problems in Engineering

Computational Intelligence in Image Processing


Publishing date
06 Dec 2013
Status
Published
Submission deadline
19 Jul 2013

Lead Editor

1Department of Electronics, University of Guadalajara, 44100 Guadalajara, JAL, Mexico

2Universidad Complutense de Madrid, 28040 Madrid, Spain

3Institut für Informatik, Freie Universität Berlin, 14195 Berlin, Germany


Computational Intelligence in Image Processing

Description

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:


Articles

  • Special Issue
  • - Volume 2013
  • - Article ID 530404
  • - Editorial

Computational Intelligence in Image Processing

Erik Cuevas | Daniel Zaldívar | ... | Raul Rojas
  • Special Issue
  • - Volume 2013
  • - Article ID 927591
  • - Research Article

A Comparative Study of Improved Artificial Bee Colony Algorithms Applied to Multilevel Image Thresholding

Kanjana Charansiriphaisan | Sirapat Chiewchanwattana | Khamron Sunat
  • Special Issue
  • - Volume 2013
  • - Article ID 716753
  • - Research Article

Pattern Recognition in Numerical Data Sets and Color Images through the Typicality Based on the GKPFCM Clustering Algorithm

B. Ojeda-Magaña | R. Ruelas | ... | L. Gómez-Barba
  • Special Issue
  • - Volume 2013
  • - Article ID 824239
  • - Research Article

Constructing HVS-Based Optimal Substitution Matrix Using Enhanced Differential Evolution

Shu-Fen Tu | Ching-Sheng Hsu
  • Special Issue
  • - Volume 2013
  • - Article ID 364305
  • - Research Article

Eigen-Gradients for Traffic Sign Recognition

Sheila Esmeralda Gonzalez-Reyna | Juan Gabriel Avina-Cervantes | ... | Ivan Cruz-Aceves
  • Special Issue
  • - Volume 2013
  • - Article ID 419018
  • - Research Article

Automatic Image Segmentation Using Active Contours with Univariate Marginal Distribution

I. Cruz-Aceves | J. G. Avina-Cervantes | ... | A. Hernandez-Aguirre
  • Special Issue
  • - Volume 2013
  • - Article ID 405372
  • - Research Article

A New Tool for Intelligent Parallel Processing of Radar/SAR Remotely Sensed Imagery

A. Castillo Atoche | R. Carrasco Alvarez | ... | J. Vázquez Castillo
  • Special Issue
  • - Volume 2013
  • - Article ID 414785
  • - Research Article

Robust Multisensor Image Matching Using Bayesian Estimated Mutual Information

Lurong Shen | Xinsheng Huang | ... | Wanying Xu
  • Special Issue
  • - Volume 2013
  • - Article ID 476181
  • - Research Article

Reversible Data Hiding Scheme with High Embedding Capacity Using Semi-Indicator-Free Strategy

Jiann-Der Lee | Yaw-Hwang Chiou | Jing-Ming Guo
  • Special Issue
  • - Volume 2013
  • - Article ID 868434
  • - Research Article

Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations

Erik Cuevas | Eduardo L. Santuario | ... | Marco Perez-Cisneros
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
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