| 講演抄録/キーワード |
| 講演名 |
2007-11-30 16:15
A Study of Segmentation for Lesion Area Boundary Detection Using a Levelset Method based on Genetic Algorithm ○Junho Cha・Toshihiro Nishimura(Waseda Univ.) IE2007-112 |
| 抄録 |
(和) |
(まだ登録されていません) |
| (英) |
A diagnosis for diseases by using an ultrasound signal processing is noninvasive method. The quality of ultrasound images is very poor to recognize the lesion area because of effects on poor contrast, blurred edges, etc. The motivation in this study is to reduce noises in ultrasound image. The segmentation is necessary preprocessing for the edge detection. 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 have segmented image by using a genetic algorithm and to compared the result of the genetic algorithm which a conventional method by using PSNR. 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) |
Genetic Algorithm / Level Set Method / Image Segmentation / / / / / |
| 文献情報 |
信学技報, vol. 107, no. 358, IE2007-112, pp. 115-118, 2007年11月. |
| 資料番号 |
IE2007-112 |
| 発行日 |
2007-11-22 (IE) |
| 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 |
IE2007-112 |