Computational Intelligence in Digital Image Processing
View Published Articles →01About This Special Issue
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.)
in/for
Coding and compression
Sampling and interpolation
Quantization and half toning
Quality assessment
Filtering and enhancement
Morphology
Edge detection and segmentation
Feature extraction
Indexing and retrieval
Object detection and tracking in video
Motion estimation and compensation for video signals
02Meet the Guest Editors
Our distinguished editors bring deep subject-matter expertise to curate high-quality research and ensure a rigorous peer-review process.
Lead Guest Editor
Thamarai M
Department of Electronics and Communication Engineering, Madanapalle Institute Of Technology And Science, Madnapalle, India
Guest Editor
Hardik Modi
Department of Electronics and Communication Engineering, Charotar University of Science and Technology, Anand, India
Guest Editor
Mehdi Davoudi
Department of Electrical Engineering, Polytechnic University of Milan, Milan, Italy
Guest Editor
Abidin Çalışkan
Computer Engineering, Batman University, Turkey
Guest Editor
Baskar Bas
Department of Computer Science, Government Arts College, Bharathiar University, Coimbatore, India
Guest Editor
Satheeskumaran S
Department of Electrical and Computer Engineering, Karpagam College of Engineering, Coimbatore, India
Guest Editor
Umaparvathi M
Department of Electronics and Communication Engineering, RVS College of Engineering and Technology, Coimbatore, India
03Published Articles
The following articles have been published in this special issue.
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Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter
Issue: Volume 3, Issue 6-1, December 2014Pages: 30-38Received: 20 September 2014Accepted: 28 January 2015Published: 27 February 2015DOI: 10.11648/j.cssp.s.2014030601.15Downloads:Views:Abstract: A new non-photorealistic rendering algorithm is proposed for creating artistic painting with soft stream flow from natural color images. The algorithm consists mainly of two stages, that is, a revised bilateral filter called trilateral filter is firstly applied to original color image for creating drawings using gradient information and then a DoG-... Show More -
Super-Resolution Method Based on Edge Feature for High Resolution Imaging
Issue: Volume 3, Issue 6-1, December 2014Pages: 24-29Received: 29 November 2014Accepted: 12 December 2014Published: 27 December 2014DOI: 10.11648/j.cssp.s.2014030601.14Downloads:Views:Abstract: Super-resolution is recently one of the most attractive research themes. An image interpolation method using co-variance between neighboring pixels, so called New Edge-Directed Interpolation (NEDI), was proposed. It enables to interpolate pixels quantitatively regardless of edge features. However, in estimation of predictive coefficients and determ... Show More -
Analysis of Particle Swarm Optimization in Block Matching Algorithms for Video Coding
Issue: Volume 3, Issue 6-1, December 2014Pages: 17-23Received: 1 November 2014Accepted: 5 November 2014Published: 12 November 2014DOI: 10.11648/j.cssp.s.2014030601.13Downloads:Views:Abstract: Particle Swarm Optimization (PSO) is global optimization technique based on swarm intelligence. It simulates the behavior of bird flocking. It is widely accepted and focused by researchers due to its profound intelligence and simple algorithm structure. Currently PSO has been implemented in a wide range of research areas such as functional optimiza... Show More -
Intelligent Traffic Light Controller Based on MCA Associative Memory
Issue: Volume 3, Issue 6-1, December 2014Pages: 6-16Received: 22 September 2014Accepted: 31 October 2014Published: 6 November 2014DOI: 10.11648/j.cssp.s.2014030601.12Downloads:Views:Abstract: Traffic in urban areas is mainly regularized by traffic lights, which may lead to the unnecessary long waiting times for vehicles if not efficiently configured. This inefficient configuration is unfortunately still the case in a lot of urban areas where most of the traffic lights are based on a ‘fixed cycle’ protocol. This paper aims to design an i... Show More -
Adaptive Unsupervised Fuzzy C Mean Based Image Segmentation
Issue: Volume 3, Issue 6-1, December 2014Pages: 1-5Received: 17 September 2014Accepted: 22 September 2014Published: 20 October 2014DOI: 10.11648/j.cssp.s.2014030601.11Downloads:Views:Abstract: In this paper an optimized method for unsupervised image clustering is proposed. Generally a Novel Fuzzy C Means (FCM) or FCM based clustering algorithm are used for clustering based image segmentation but these algorithms have a disadvantage of depending upon supervised user inputs such as number of clusters. Our proposed algorithm enhances an uns... Show More
