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 463760
  • - Research Article

An Image Filter Based on Multiobjective Genetic Algorithm and Shearlet Transformation

Zhi-yong Fan | Quan-sen Sun | ... | Kai Hu
  • Special Issue
  • - Volume 2013
  • - Article ID 651581
  • - Research Article

A Multilabel Texture Segmentation Based on Local Entropy Signature

Bo-Young Park | Hyo-Hun Kim | Byung-Woo Hong
  • Special Issue
  • - Volume 2013
  • - Article ID 965419
  • - Research Article

An Object Detection Method Using Wavelet Optical Flow and Hybrid Linear-Nonlinear Classifier

Pengcheng Han | Junping Du | ... | Suguo Zhu
  • Special Issue
  • - Volume 2013
  • - Article ID 891864
  • - Research Article

Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement

V. Magudeeswaran | C. G. Ravichandran
  • Special Issue
  • - Volume 2013
  • - Article ID 480274
  • - Research Article

An Efficient Universal Noise Removal Algorithm Combining Spatial Gradient and Impulse Statistic

Shuhan Chen | Weiren Shi | Wenjie Zhang
  • Special Issue
  • - Volume 2013
  • - Article ID 928469
  • - Research Article

The Effect of Labeled/Unlabeled Prior Information for Masseter Segmentation

Yousef Rezaei Tabar | Ilkay Ulusoy
  • Special Issue
  • - Volume 2013
  • - Article ID 719756
  • - Research Article

Classification of ETM+ Remote Sensing Image Based on Hybrid Algorithm of Genetic Algorithm and Back Propagation Neural Network

Haisheng Song | Ruisong Xu | ... | Gaofei Li
Mathematical Problems in Engineering
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Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
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Impact Factor1.305
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