Edge Detection from Noisy Images Using a Neural Edge Detector

  • SUZUKI Kenji
    Kurt Rossmann Laboratories for Radiologic Image Research,Department of Radiology,The University of Chicago
  • HORIBA Isao
    Faculty of Information Science and Technology,Aichi Prefectural University
  • SUGIE Noboru
    Faculty of Science and Technology,Meijo University

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説明

In this paper, a new edge detector using a multilayer neural network, called a neural edge detector (NED), is proposed for detecting the desired edges from noisy images. By the results of experiments with noisy natural images, it was demonstrated that the NED could detect edges robustly against noise.

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詳細情報 詳細情報について

  • CRID
    1570291227387613952
  • NII論文ID
    110003223302
  • NII書誌ID
    AA10826272
  • ISSN
    09168532
  • 本文言語コード
    en
  • データソース種別
    • CiNii Articles

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