Implementation of fuzzy color extractor on NI myRIO embedded device
文献类型：会议论文
| 作者 | Oswald, David; Li W(李伟); Niu, Linwei; Zhang J(张进) ; Li Y(李岩); Yu JC(俞建成); Sun FC(孙富春)
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| 出版日期 | 2014 |
| 会议名称 | 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014 |
| 会议日期 | September 28-30, 2014 |
| 会议地点 | Beijing, China |
| 关键词 | Fuzzy color extractor embedded system myRIO LabVIEW DaNI robot |
| 页码 | 1-6 |
| 中文摘要 | A fuzzy color extractor is defined by fuzzy rules to extract certain colors based on a color pattern (color seed). In order to extract certain colors from images in real-time, this paper attempts to implement a fuzzy color extractor on NI myRIO embedded device, which features the Xilinx Zynq-7010 all-programmable system including a dual-core ARM® Cortex™-A9 real-time processor and an Artix-7 FPGA with customizable I/O. To implement the fuzzy color extractor on NI myRIO, the fuzzy logic module, real-time module, and FPGA module of Lab VIEW 2013 are required. LabVIEW is a system-design platform and development environment for a visual programming language. First, we define the fuzzy membership functions and fuzzy rules for the fuzzy color extractor using the Fuzzy Logic module. Second, we implement the fuzzy color extractor using Real-Time module. Finally, we implement the fuzzy color extractor a DaNI robot to test the color extraction performance under varying illumination conditions. © 2014 IEEE. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 2 |
| 会议录 | Processing of 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-6731-5 |
| WOS记录号 | WOS:000358878700012 |
| 源URL | [http://ir.sia.cn/handle/173321/15683]  |
| 专题 | 沈阳自动化研究所_水下机器人研究室 |
| 推荐引用方式 GB/T 7714 | Oswald, David,Li W,Niu, Linwei,et al. Implementation of fuzzy color extractor on NI myRIO embedded device[C]. 见:2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, MFI 2014. Beijing, China. September 28-30, 2014. |
入库方式： OAI收割
来源：沈阳自动化研究所
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