@techreport{oai:ipsj.ixsq.nii.ac.jp:00102632,
 author = {加藤, 毅 and 章, 忠 and 戸田, 浩 and 今村, 孝 and 三宅, 哲夫 and 石川, 康宏 and Takeshi, Kato and Zhong, Zhang and Hiroshi, Toda and Takashi, Imamura and Tetsuo, Miyake and Yasuhiro, Ishikawa},
 issue = {13},
 month = {Aug},
 note = {本論文では，複素数離散ウェーブレット変換 (CDWT) を基に，新規の方向性ウェーブレット変換を提案する．ウェーブレット変換の一つである CDWT は，画像の空間周波数解析が可能であり，画像処理手法として広く用いられてきた．CDWT は画像を方向成分に分解し，境界線や不連続な線を方向別に捉える事が可能である．この機能は方向選択性と呼ばれ，形状情報や幾何学特徴の抽出に期待出来る．しかし，CDWT の方向選択性で得られる方向成分は 6 方向に限定されおり，十分な画像特徴を提供するとは言えない．そこで，多くの方向性特徴を抽出可能な方向性フィルタを設計し，従来の CDWT と組み合わせた方向性ウェーブレット変換を提案した．そして，提案手法を医用画像処理に応用し，その有効性を確認した．, This paper proposes the novel directional wavelet transform based on the complex discrete wavelet transform(CDWT). The complex discrete wavelet transform is one of the wavelet transform and the CDWT is known as the space-frequency analysis method and image processing method. The CDWT decomposes an image into directional components and discontinuity lines and singularities are detected. This property is called Directional Selection and expected as geometrical feature and shape information extraction method. However, directional selection offers only 6 directional components and we can not obtain the enough image directional features. Thus, we design the directional filters that can detect various directional features and we combine the previous CDWT and designed filters. Finally, we apply the proposed method to medical image processing and we consider the validation of proposed method.},
 title = {方向性ウェーブレッ卜変換の提案と医用画像処理応用},
 year = {2014}
}