Mathematical Problems in Engineering

Computational Intelligence in Image Processing 2014


Status
Published

Lead Editor

1University of Guadalajara, Guadalajara, Mexico

2Universidad Complutense de Madrid, Madrid, Spain

3Freie Universität Berlin, Berlin, Germany


Computational Intelligence in Image Processing 2014

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

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 782826
  • - Editorial

Computational Intelligence in Image Processing 2014

Erik Cuevas | Daniel Zaldívar | ... | Raúl Rojas
  • Special Issue
  • - Volume 2015
  • - Article ID 983601
  • - Research Article

Sealing Clay Text Segmentation Based on Radon-Like Features and Adaptive Enhancement Filters

Xia Zheng | Wei Wei | ... | Wei Li
  • Special Issue
  • - Volume 2015
  • - Article ID 414561
  • - Research Article

An Image Filter Based on Shearlet Transformation and Particle Swarm Optimization Algorithm

Kai Hu | Aiguo Song | ... | Zhichen Zheng
  • Special Issue
  • - Volume 2015
  • - Article ID 931672
  • - Research Article

An Image Watermarking Scheme Using Arnold Transform and Fuzzy Smooth Support Vector Machine

Lin Sun | Jiucheng Xu | ... | Yun Tian
  • Special Issue
  • - Volume 2015
  • - Article ID 367879
  • - Research Article

Stamps Detection and Classification Using Simple Features Ensemble

Paweł Forczmański | Andrzej Markiewicz
  • Special Issue
  • - Volume 2015
  • - Article ID 523603
  • - Research Article

Face Recognition Using MLP and RBF Neural Network with Gabor and Discrete Wavelet Transform Characterization: A Comparative Study

Fatma Zohra Chelali | Amar Djeradi
  • Special Issue
  • - Volume 2015
  • - Article ID 174709
  • - Research Article

Automatic Segmentation of Nature Object Using Salient Edge Points Based Active Contour

Shangbing Gao | Yunyang Yan | ... | Jianxun Xue
  • Special Issue
  • - Volume 2015
  • - Article ID 318341
  • - Research Article

Multiscale Hybrid Nonlocal Means Filtering Using Modified Similarity Measure

Zahid Hussain Shamsi | Dai-Gyoung Kim
  • Special Issue
  • - Volume 2015
  • - Article ID 181864
  • - Research Article

Multiframe Superresolution Reconstruction Based on Self-Learning Method

Shao-Shuo Mu | Ye Zhang | ... | Xiao-Feng Qiu
  • Special Issue
  • - Volume 2015
  • - Article ID 805357
  • - Research Article

Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms

Erik Cuevas | Adrián González | ... | Marco Pérez-Cisneros
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
Impact Factor1.009
 Submit

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.