Research on Portable Multi-Bar Code Recognizer Based on Digital Image Processing Technology

2020 ◽  
Author(s):  
Huang Huilin ◽  
Li Tinghui
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technology ◽  
Bar Code ◽  
Image Processing Technology

Preliminary research on a method of outcrops extraction on Karst Gabin ecosystem based on digital image processing: the case of the Mengzi Gabin basin

2021 ◽  
Author(s):  
Zhe Yin ◽  
Zhijie Shan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technology ◽  
Rocky Desertification ◽  
Rock Outcrops ◽  
Bare Rock ◽  
Image Processing Technology ◽  
Karst Ecosystem ◽  
Bare Rock Rate

<p>Rock outcrops are common features of the karst ecosystem The bare rock rate is an important indicator for rocky desertification grades classification, and its accurate extraction can benefit for understanding the distribution characteristics of rock outcrops in desertification areas and the classification of rocky desertification grades. In order to explore the distribution pattern of surface bare rocks in the typical geomorphic environment of the Karst gabin basin, the Mengzi gabin basin was carried out as the research site. The combination of UAV shooting images and digital image processing technology were used, the characteristics of bare rock rate on the karst fault basin after vegetation restoration were shaped. Our results showed that digital image processing technology can be used for extraction of bare rock rate in Karst area, and the effective combination of UAV technology and digital image processing technology can quickly obtain bare rock rate data of typical landform in Karst gabin basins. After performing drone aerial photography on 26 typical landform information under different bare rock distribution conditions on the Mengzi gabin basin, the results of the image processing analysis showed that the bare rock rate is between 2.7%-28.9%. The research provide technical support for the assessment of the karst ecosystem degradation and the evaluation of the current status of rocky desertification in karst gabin basin</p>

Raceway Definition Using Digital Image Processing Technology in Blast Furnace Model

2012 ◽  
Vol 268-270 ◽  
pp. 1794-1800
Author(s):  
Ye Sun ◽  
Ren Chen ◽  
Guo Xi Wu ◽  
Li Na Sun ◽  
Li Hao Han
Keyword(s):  
Image Processing ◽  
Blast Furnace ◽  
Digital Image Processing ◽  
Digital Image ◽  
Processing Technology ◽  
Physical Parameters ◽  
Cold Model ◽  
Specific Criterion ◽  
Image Processing Technology ◽  
Boundary Definition

Definition of raceway shape and size has always been a challenging task. The whole physical parameters field can be used to describe the raceway boundary precisely, but all of the physical parameter fields are obtained from numerical simulation so far and there isn’t a specific criterion to define the raceway boundary. In this study, a new digital image processing technology has been developed to define the raceway boundary in cold model of blast furnace. The particle velocity contour criterion of raceway boundary definition is 0.15 m/s in this study and the precise raceway boundary can be obtained through this method.

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