Neural Networks in Image Processing: A Review of Current Applications

This paper describes current applications of neural networks in image processing. Artificial neural networks (ANNs) are methods of computation and information processing modelled by the brain. Many recent attempts to improve the flexibility and effectiveness of ANNs have focused on the implementatio...

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Main Authors: Sheng, Hung Chung, Logeswaran, Rajasvaran
Format: Article
Language:English
Published: INTI Publishing House Sdn. Bhd. 2006
Subjects:
Online Access:http://eprints.intimal.edu.my/363/
http://eprints.intimal.edu.my/363/1/2006_7.pdf
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author Sheng, Hung Chung
Logeswaran, Rajasvaran
author_facet Sheng, Hung Chung
Logeswaran, Rajasvaran
author_sort Sheng, Hung Chung
building INTI Institutional Repository
collection Online Access
description This paper describes current applications of neural networks in image processing. Artificial neural networks (ANNs) are methods of computation and information processing modelled by the brain. Many recent attempts to improve the flexibility and effectiveness of ANNs have focused on the implementation level. In this article, we look into ANNs used in the different stages of image processing, specifically in the preprocessing, data reduction, segmentation, object recognition and image understanding phases. The focus is on current and future ANNs, including feed-forward networks, Kohonen feature maps, Hopfleld networks, goal-seeking neuron (GSN) and cellular neural network (CNN). New types of ANNs are fast increasing. Through this survey of introducing the findings, implementations and recent advances of ANNs in Image processing, it is hoped that this paper will serve as a summary, or base to accelerate further development and use of ANN5 in the field of image processing, and improving the accuracy and speed of image processing tasks in the future.
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spelling intimal-3632016-06-22T07:02:43Z http://eprints.intimal.edu.my/363/ Neural Networks in Image Processing: A Review of Current Applications Sheng, Hung Chung Logeswaran, Rajasvaran QA75 Electronic computers. Computer science This paper describes current applications of neural networks in image processing. Artificial neural networks (ANNs) are methods of computation and information processing modelled by the brain. Many recent attempts to improve the flexibility and effectiveness of ANNs have focused on the implementation level. In this article, we look into ANNs used in the different stages of image processing, specifically in the preprocessing, data reduction, segmentation, object recognition and image understanding phases. The focus is on current and future ANNs, including feed-forward networks, Kohonen feature maps, Hopfleld networks, goal-seeking neuron (GSN) and cellular neural network (CNN). New types of ANNs are fast increasing. Through this survey of introducing the findings, implementations and recent advances of ANNs in Image processing, it is hoped that this paper will serve as a summary, or base to accelerate further development and use of ANN5 in the field of image processing, and improving the accuracy and speed of image processing tasks in the future. INTI Publishing House Sdn. Bhd. 2006 Article PeerReviewed text en http://eprints.intimal.edu.my/363/1/2006_7.pdf Sheng, Hung Chung and Logeswaran, Rajasvaran (2006) Neural Networks in Image Processing: A Review of Current Applications. INTI Journal, 2 (1). pp. 582-592. ISSN 1675-0284
spellingShingle QA75 Electronic computers. Computer science
Sheng, Hung Chung
Logeswaran, Rajasvaran
Neural Networks in Image Processing: A Review of Current Applications
title Neural Networks in Image Processing: A Review of Current Applications
title_full Neural Networks in Image Processing: A Review of Current Applications
title_fullStr Neural Networks in Image Processing: A Review of Current Applications
title_full_unstemmed Neural Networks in Image Processing: A Review of Current Applications
title_short Neural Networks in Image Processing: A Review of Current Applications
title_sort neural networks in image processing: a review of current applications
topic QA75 Electronic computers. Computer science
url http://eprints.intimal.edu.my/363/
http://eprints.intimal.edu.my/363/1/2006_7.pdf