| 講演抄録/キーワード |
| 講演名 |
2008-01-25 15:45
[ポスター講演]The Segmentation Method for the Boundary Detection of Lesion Area Using a Levelset Method based on Real-Coded Genetic Algorithm ○Junho Cha・Toshihiro Nishimura(Waseda Univ.) MBE2007-95 |
| 抄録 |
(和) |
(まだ登録されていません) |
| (英) |
When the doctor does diagnosis, the quality of ultrasound images is poor to recognize the lesion area because of effects on poor contrast, blurred edges, etc. The purpose is to reduce noises and edge detection in ultrasound image. In this paper, the border curve in edge segmentation is represented by using the level set method to detect the tumor region of human liver on the ultrasound image. We preprocessed the image by using a real-coded genetic algorithm (RCGA) based on speckle reducing anisotropic diffusion (SRAD). As the result, we confirm to get the dominant segmented image which has more distinctive and smooth character than images which are used previously. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
Real-Coded Genetic Algorithm / SRAD / Levelset Method / Image Segmentation / / / / |
| 文献情報 |
信学技報, vol. 107, no. 460, MBE2007-95, pp. 63-66, 2008年1月. |
| 資料番号 |
MBE2007-95 |
| 発行日 |
2008-01-18 (MBE) |
| 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 |
MBE2007-95 |