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An Artificial Neural Network Learning Fuzzy Membership Functions for Extracting Color Sketch Features

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(3), pp.11-20
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

조성목 1 조옥래 1

1동명대학교

Candidate

ABSTRACT

This paper describes the technique which utilizes a fuzzy neural network to sketch feature extraction in digital images. We configure an artificial neural network and make it learn fuzzy membership functions to decide a local threshold applying to sketch feature extraction. To do this, we put the learning data which is membership functions generated based on optimal feature map of a few standard images into the artificial neural network. The proposed technique extracts sketch features in an image very effectively and rapidly because the input fuzzy variable have some desirable characteristics for feature extraction such as dependency of local intensity and excellent performance and the proposed fuzzy neural network is learned from their membership functions, We show that the fuzzy neural network has a good performance in extracting sketch features without human intervention.

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