An Acceleration of a Graph Cut Segmentation with FPGA
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- KOBORI Daichi
- Systems and Information Engineering, University of Tsukuba
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- MARUYAMA Tsutomu
- Systems and Information Engineering, University of Tsukuba
Bibliographic Information
- Other Title
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- FPGAを用いたグラフカットセグメンテーションの高速化(画像処理(1))
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Description
In this paper, we propose an FPGA implementation of the max-flow problem for the image segmentation by the graph cuts. The graph cuts is an effective method for the image segmentation, and can be solved efficiently as the max-flow problem. In our implementation, the push-relabel method and the gap relabeling are used in order to achieve high performance on FPGA. The performance gain compared with a software library on CPU is about 3-5.
Journal
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- IEICE technical report. Artificial intelligence and knowledge-based processing
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IEICE technical report. Artificial intelligence and knowledge-based processing 112 (70), 1-6, 2012-05-22
The Institute of Electronics, Information and Communication Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1570291227926702592
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- NII Article ID
- 110009569561
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- NII Book ID
- AN10013061
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- Text Lang
- ja
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- Data Source
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- CiNii Articles