NDLI: Research on HVPL for visual detection of bicolor water level gauge

Content Provider	IEEE Xplore Digital Library
Author	Bin Sun Changsheng Zhang Ziyu Liu Haiyong Tian Hanping Zhang
Copyright Year	2014
Description	Author affiliation: Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China (Bin Sun; Changsheng Zhang; Ziyu Liu; Hanping Zhang) \|\| Shu Ye Technol. Co. Ltd., Kunming, China (Haiyong Tian)
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.
Starting Page	2094
Ending Page	2099
File Size	276625
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Band-pass filters Maximum likelihood detection Liquids Image edge detection FPGA Filtering algorithms HVPL Crack Chain Code Bicolor Water Level Gauge DoG filter Field programmable gate arrays
Content Type	Text
Resource Type	Article

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