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Computational Intelligence in Digital Image Processing
Submission Deadline: Nov. 30, 2014
Lead Guest Editor
Department of Electronics and Communication Engineering, Madanapalle Institute Of Technology And Science, Madnapalle, Andrapradesh, India
Guest Editors
  • Department of Electrical and Computer Engineering, Karpagam College of Engineering, Coimbatore, Tamilnadu, India
  • Department of Computer Science, Government Arts College, Bharathiar University, Coimbatore, Tamil nadu, India
  • Department of Electronics and Communication Engineering, RVS College of Engineering and Technology, Coimbatore, Tamilnadu, India
  • Computer Engineering, Batman University, Batman, Turkey
  • Department of Electrical Engineering, Polytechnic University of Milan, Milan, Italy
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=136). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
Authors: Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang
Pages: 30-38 Published Online: Feb. 27, 2015
Views 3695 Downloads 394
Authors: Ryohei Yamaguchi, Teppei Sato, Atsushi Koike, Naoya Wada, Hitomi Murakami
Pages: 24-29 Published Online: Dec. 27, 2014
Views 3109 Downloads 178
Authors: Kakalakannan Damodharan, Thamarai Muthusamy
Pages: 17-23 Published Online: Nov. 12, 2014
Views 3174 Downloads 179
Authors: Emad I. Abdul Kareem, Safana H. Abbas, Salman Mahmood Salman
Pages: 6-16 Published Online: Nov. 6, 2014
Views 3619 Downloads 176
Authors: Arunkumar Rajendran, Thamarai Muthusamy
Pages: 1-5 Published Online: Oct. 20, 2014
Views 3628 Downloads 191
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 and video 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
Metaheuristics Approaches:
(Evolutionary algorithms, simulated annealing, ant colony optimization, particle swarm optimization, cat swarm optimization, bee colony optimization, etc.)

Coding and compression
Sampling and interpolation
Quantization and half toning
Quality assessment
Filtering and enhancement
Edge detection and segmentation
Feature extraction
Indexing and retrieval
Object detection and tracking in video
Motion estimation and compensation for video signals
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