@article{oai:nagoya.repo.nii.ac.jp:00019039,
 author = {武藤, 俊介 and Muto, Shunsuke},
 issue = {1},
 journal = {顕微鏡},
 month = {},
 note = {電子顕微鏡関連装置も近年デジタル化・自動化が進みつつある．この様な状況下で電子顕微鏡像及び関連分光データに内在する情報を最大限利用（特にノイズ除去，分解能向上，統計的情報抽出）するためには，データの特性に即した数学的な処理を通して情報抽出することが極めて有効である．本稿では筆者がこれまで行ってきた各種の信号・画像処理法について，その特徴と応用例を紹介する．, Recent trends have pushed the scientific instruments associated with electron microscopy toward computer-controlled and automatic operation. It could be very effective under such circumstances to apply mathematical treatments suitable for the microscopic and spectroscopic data characteristics and extract information embedded thereby as much as possible, particularly for noise reduction, resolution improvement and statistical information extraction. In the present article several signal and image processing techniques, their features and application examples, which have been done by the present author are introduced.},
 pages = {24--29},
 title = {各種信号処理・統計的手法の電子顕微鏡データへの応用},
 volume = {46},
 year = {2011}
}