Presentation | 2012-05-29 An Acceleration of a Graph Cut Segmentation with FPGA Daichi KOBORI, Tsutomu MARUYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | 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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | graph cut / segmentation / max-flow / FPGA |
Paper # | RECONF2012-1 |
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Conference Information | |
Committee | AI |
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Conference Date | 2012/5/22(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An Acceleration of a Graph Cut Segmentation with FPGA |
Sub Title (in English) | |
Keyword(1) | graph cut |
Keyword(2) | segmentation |
Keyword(3) | max-flow |
Keyword(4) | FPGA |
1st Author's Name | Daichi KOBORI |
1st Author's Affiliation | Systems and Information Engineering, University of Tsukuba() |
2nd Author's Name | Tsutomu MARUYAMA |
2nd Author's Affiliation | Systems and Information Engineering, University of Tsukuba |
Date | 2012-05-29 |
Paper # | RECONF2012-1 |
Volume (vol) | vol.112 |
Number (no) | 70 |
Page | pp.pp.- |
#Pages | 6 |
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