Edge Detection from Noisy Images Using a Neural Edge Detector

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• SUGIE NOBORU

  Faculty of Engineering, Nagoya University

• Suzuki Kenji

  Kurt Rossmann Laboratories For Radiologic Image Research Department Of Radiology The University Of C

• Sugie N

  Meijo Univ. Nagoya Jpn

• Sugie Noboru

  Faculty Of Engineering Nagoya University

• HORIBA Isao

  Faculty of Information Science and Technology,Aichi Prefectural University

• Horiba Isao

  Faculty Of Information Science And Technology Aichi Prefectural University

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