| Budget Amount *help |
¥16,380,000 (Direct Cost: ¥12,600,000、Indirect Cost: ¥3,780,000)
Fiscal Year 2016: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥7,540,000 (Direct Cost: ¥5,800,000、Indirect Cost: ¥1,740,000)
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| Outline of Final Research Achievements |
The way to perform image processing and recognition using the cellular network which arranged a small-scale circuit which consists of rather simple functions in lattice grid has been researched in this project. In this method, evolutional computation, which is a kind of optimization, was employed to construct the adequate cellular network for a given task automatically. We applied the method to the tasks such as super-resolution, image segmentation and semantic segmentation and so on, and verified the effectiveness of the method. This method has a big advantage that it is possible to construct various processing just by determining a small-scale circuit, and the method is also practical.
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