DocumentCode :
176096
Title :
Research on HVPL for visual detection of bicolor water level gauge
Author :
Bin Sun ; Changsheng Zhang ; Ziyu Liu ; Haiyong Tian ; Hanping Zhang
Author_Institution :
Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
fYear :
2014
fDate :
May 31 2014-June 2 2014
Firstpage :
2094
Lastpage :
2099
Abstract :
To obtain real-time and accurate value of water level for industrial boiler drum, image preprocessing and number identification algorithms are used on FPGA, including distortion correction, DoG filter (Difference of Gaussian filter), the minimum misclassification error threshold method and crack chain code. Especially, the algorithm HVPL is proposed. Segmentation, extraction and number identification are fulfilled for the level gauge image by using above algorithms. Experiment shows that performing the machine recognition for image by running the fast algorithms on logic circuit has advantages of good real-time performance, robustness and higher recognition rate.
Keywords :
boilers; computerised instrumentation; field programmable gate arrays; image colour analysis; image segmentation; object detection; production engineering computing; water storage; DoG filter; FPGA; HVPL; bicolor water level gauge; crack chain code; difference of Gaussian filter; distortion correction; image preprocessing; industrial boiler drum; level gauge image; minimum misclassification error threshold method; number identification algorithm; visual detection; Band-pass filters; Field programmable gate arrays; Filtering algorithms; Image edge detection; Liquids; Maximum likelihood detection; Bicolor Water Level Gauge; Crack Chain Code; DoG filter; FPGA; HVPL;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
Type :
conf
DOI :
10.1109/CCDC.2014.6852512
Filename :
6852512
Link To Document :
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