| 講演抄録/キーワード |
| 講演名 |
2010-11-15 15:55
New Region Growing Segmentation Technique for MR Images with Weak Boundaries ○Ahmed Ayman(Kyoto Univ./Al-Azhar Univ.)・Takuya Funatomi・Michihiko Minoh(Kyoto Univ.)・Zanaty Elnomery(Sohag Univ.)・Tomohisa Okada・Kaori Togashi・Tomoko Sakai・Shigehito Yamada(Kyoto Univ.) MI2010-79 |
| 抄録 |
(和) |
(まだ登録されていません) |
| (英) |
In medical image processing, segmented images are used for studying anatomical structures, diagnosis and assisting in surgical planning. Our goal is to segment 2D/3D MR images which contain weak boundaries between different tissues. Region growing method cannot specifically segment the tissues with weak boundaries because pixels inside the region and outside have similar intensity. We introduce a new automatic threshold method for region growing. The pixels around boundaries have lower probability of intensities than the pixels inside and outside the tissues. Then, the automatic threshold for region growing will be computed as a function of pixel intensity value and probability of intensities. The experimental results show that the proposed technique produces accurate and stable results. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
Segmentation / Region growing / automatic threshold / MRI / Weak boundaries / / / |
| 文献情報 |
信学技報, vol. 110, no. 280, MI2010-79, pp. 71-76, 2010年11月. |
| 資料番号 |
MI2010-79 |
| 発行日 |
2010-11-08 (MI) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
MI2010-79 |