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