Mathematical Problems in Engineering

Computational Intelligence in Image Processing 2016


Publishing date
22 Jul 2016
Status
Published
Submission deadline
04 Mar 2016

Lead Editor

1University of Guadalajara, Guadalajara, Mexico

2Universidad Complutense de Madrid, Madrid, Spain

3Freie Universität Berlin, Berlin, Germany


Computational Intelligence in Image Processing 2016

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 the following:
    • 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 the following:
    • 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 2016
  • - Article ID 5680246
  • - Editorial

Computational Intelligence in Image Processing 2016

Erik Cuevas | Daniel Zaldívar | ... | Raúl Rojas
  • Special Issue
  • - Volume 2016
  • - Article ID 9837123
  • - Research Article

Image-Guided Voronoi Aesthetic Patterns with an Uncertainty Algorithm Based on Cloud Model

Tao Wu | Limin Zhang
  • Special Issue
  • - Volume 2016
  • - Article ID 7916450
  • - Research Article

Learn to Rank Images: A Unified Probabilistic Hypergraph Model for Visual Search

Kaiman Zeng | Nansong Wu | ... | Kang Yen
  • Special Issue
  • - Volume 2016
  • - Article ID 9306282
  • - Research Article

Color, Scale, and Rotation Independent Multiple License Plates Detection in Videos and Still Images

Narasimha Reddy Soora | Parag S. Deshpande
  • Special Issue
  • - Volume 2016
  • - Article ID 5927306
  • - Research Article

A Multikernel-Like Learning Algorithm Based on Data Probability Distribution

Guo Niu | Zhengming Ma | Shuyu Liu
  • Special Issue
  • - Volume 2016
  • - Article ID 1919824
  • - Research Article

Hand Gesture Recognition Using Particle Swarm Movement

Clementine Nyirarugira | Hyo-rim Choi | TaeYong Kim
  • Special Issue
  • - Volume 2016
  • - Article ID 7906165
  • - Research Article

An Automatic Cognitive Graph-Based Segmentation for Detection of Blood Vessels in Retinal Images

Rasha Al Shehhi | Prashanth Reddy Marpu | Wei Lee Woon
  • Special Issue
  • - Volume 2016
  • - Article ID 3835952
  • - Research Article

Improved Adaptive Vibe and the Application for Segmentation of Complex Background

Le Chang | Zhenghua Liu | Yan Ren
  • Special Issue
  • - Volume 2016
  • - Article ID 1529782
  • - Research Article

Contrast Enhancement Method Based on Gray and Its Distance Double-Weighting Histogram Equalization for 3D CT Images of PCBs

Lei Zeng | Bin Yan | Weidong Wang
  • Special Issue
  • - Volume 2016
  • - Article ID 6153749
  • - Research Article

Neural Architectures for Correlated Noise Removal in Image Processing

Cătălina Cocianu | Alexandru Stan
Mathematical Problems in Engineering
 Journal metrics
Acceptance rate27%
Submission to final decision64 days
Acceptance to publication34 days
CiteScore1.800
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Impact Factor1.305
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