講演名 | 2010-11-15 New Region Growing Segmentation Technique for MR Images with Weak Boundaries , |
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抄録(和) | |
抄録(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) | |
キーワード(英) | Segmentation / Region growing / Automatic threshold / MRI / Weak boundaries |
資料番号 | MI2010-79 |
発行日 |
研究会情報 | |
研究会 | MI |
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開催期間 | 2010/11/8(から1日開催) |
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講演論文情報詳細 | |
申込み研究会 | Medical Imaging (MI) |
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本文の言語 | ENG |
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サブタイトル(和) | |
タイトル(英) | New Region Growing Segmentation Technique for MR Images with Weak Boundaries |
サブタイトル(和) | |
キーワード(1)(和/英) | / Segmentation |
第 1 著者 氏名(和/英) | / Ahmed AYMAN |
第 1 著者 所属(和/英) | Academic Center for Computing and Media Studies, Kyoto University:Faculty of Science, Al-Azhar University |
発表年月日 | 2010-11-15 |
資料番号 | MI2010-79 |
巻番号(vol) | vol.110 |
号番号(no) | 280 |
ページ範囲 | pp.- |
ページ数 | 6 |
発行日 |