Chaotic Neurons Network with Plastic Couplings for Image Segmentation and Posterization
| Project/Area Number |
22700234
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Sensitivity informatics/Soft computing
|
|---|
| Research Institution | The University of Tokushima |
|---|
Principal Investigator |
FUJIMOTO Kenichi 徳島大学, 大学院・ヘルスバイオサイエンス研究部, 助教 (20300626)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
|---|
| Keywords | 動的画像領域分割処理 / カオス・ニューロン結合系 / 可塑的結合 / ポスタリゼーション / 振動応答 / 同期現象 / Graphics Processing Unit / ニューロン結合系 / 動的画像領域分割 / GPU実装 / 離散時間力学系 / 非線形ダイナミクス |
|---|
| Research Abstract |
The purpose of this study is to develop basic technologies on a dynamic image-segmentation system that is applicable to high-resolution, continuous-tone images. On the basis of nonlinear dynamical systems theory, we analyzed the dynamics of discrete-time chaotic neurons with plastic couplings. The results suggested appropriate values of system parameters for dynamic image segmentation. The proposed system with tuned parameter values worked for several medical images. Moreover, an implementation of the proposed system into a graphics processing unit yielded faster dynamic image segmentation than that executed in a central processing unit.
|
Report
(4 results)
Research Products
(31 results)
