Title :
Implementation of fuzzy color extractor on NI myRIO embedded device
Author :
Oswald, David ; Wei Li ; Linwei Niu ; Jin Zhang ; Yan Li ; Jiangchen Yu ; Fuchun Sun
Author_Institution :
Dept. of Comput. & Electr. Eng. & Comput. Sci., California State Univ., Bakersfield, CA, USA
Abstract :
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.
Keywords :
field programmable gate arrays; fuzzy set theory; image colour analysis; image segmentation; robot vision; Artix-7 FPGA; DaNI robot; LabVIEW 2013; NI myRIO embedded device; Xilinx Zynq-7010 all-programmable system; color image segmentation; color pattern; color seed; customizable I/O; development environment; dual-core ARM Cortex-A9 real-time processor; fuzzy color extractor; fuzzy logic module; fuzzy membership functions; fuzzy rules; illumination conditions; image color extract; real-time module; system-design platform; visual programming language; Cameras; Feature extraction; Fuzzy logic; Image color analysis; Nickel; Real-time systems; Robots; DaNI robot; Fuzzy color extractor; LabVIEW; embedded system; myRIO;
Conference_Titel :
Multisensor Fusion and Information Integration for Intelligent Systems (MFI), 2014 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6731-5
DOI :
10.1109/MFI.2014.6997638