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
この論文をさがす
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.
収録刊行物
-
- IEICE transactions on information and systems
-
IEICE transactions on information and systems 86 (4), 777-, 2003-04-01
一般社団法人電子情報通信学会
- Tweet
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