Science Journal of Circuits, Systems and Signal Processing

Volume 3, Issue 6, December 2014

  • Adaptive Unsupervised Fuzzy C Mean Based Image Segmentation

    Arunkumar Rajendran, Thamarai Muthusamy

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 1-5
    Received: 17 September 2014
    Accepted: 22 September 2014
    Published: 20 October 2014
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    This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
    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
  • Intelligent Traffic Light Controller Based on MCA Associative Memory

    Emad I. Abdul Kareem, Safana H. Abbas, Salman Mahmood Salman

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 6-16
    Received: 22 September 2014
    Accepted: 31 October 2014
    Published: 6 November 2014
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    This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
    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
  • Analysis of Particle Swarm Optimization in Block Matching Algorithms for Video Coding

    Kakalakannan Damodharan, Thamarai Muthusamy

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 17-23
    Received: 1 November 2014
    Accepted: 5 November 2014
    Published: 12 November 2014
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    This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
    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
  • Super-Resolution Method Based on Edge Feature for High Resolution Imaging

    Ryohei Yamaguchi, Teppei Sato, Atsushi Koike, Naoya Wada, Hitomi Murakami

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 24-29
    Received: 29 November 2014
    Accepted: 12 December 2014
    Published: 27 December 2014
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    This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
    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
  • Stream Flow Painting from Real Images Using Anisotropic Band-Pass Filter

    Xiaohua Zhang, Ning Xie, Yuelan Xin, Heming Huang

    Issue: Volume 3, Issue 6-1, December 2014
    Pages: 30-38
    Received: 20 September 2014
    Accepted: 28 January 2015
    Published: 27 February 2015
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    This article belongs to the Special Issue Computational Intelligence in Digital Image Processing
    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