A rapid automatic analyzer and its methodology for effective bentonite content based on image recognition technology

Long, Wei; Lu, Xin; Wang, Xiaolu

doi:10.1007/s41230-016-5119-6

Cited by 6 publications

(4 citation statements)

References 4 publications

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“…Among them μ 2 are the probabilities generated by the two parts and μ is the image's overall gray value [90]. Let x(t) be a square-integrable function, denoted as x(t) ∈ L 2 (R), and ψ(t) is a function called basic wavelet, then:…”

Section: Image Processing Technology Of Ceramic Muralsmentioning

confidence: 99%

Implementation of Computer-Based Vision Technology to Consider Visual Form of Ceramic Mural Art

Alkathir

2021

Mathematical Problems in Engineering

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As one of the cultural forms of human beings, ceramic murals transcend the dimension of time and space and transcend the single cognition of materialism in the sense of purely material materials. The emergence of computer vision technology has also provided conditions for developing ceramic murals in terms of concepts and technical forms. This article first studies the visual communication language research in ceramic mural art, at the same time comprehensively analyzes the design principles of ceramic mural art, and interprets the visual form of ceramic mural art from the perspective of actual projects in the thesis; then, it boldly analyzes the future of ceramic mural art Development trend. Finally, this article analyzes the composition in ceramic mural art, the graphics in ceramic mural art, the color in ceramic mural art, the scale in ceramic mural art, the lighting in ceramic mural art, and the design principles in ceramic mural art. The experimental results show that there are significant differences in the artistic design principles of ceramic murals P < 0.05 , and there are significant differences in the artistic design principles of ceramic murals P < 0.05 . Therefore, the artistic design principles of modern ceramic murals should mainly follow elegant and prominent forms.

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Section: Image Processing Technology Of Ceramic Muralsmentioning

confidence: 99%

Implementation of Computer-Based Vision Technology to Consider Visual Form of Ceramic Mural Art

Alkathir

2021

Mathematical Problems in Engineering

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“…It depends on moisture, bentonite content, compaction degree. Typically, the values of these properties are determined by separate experimental studies such as: testing the methylene blue, the Cu(II)-triethylenetetramine complex adsorption method (Cu(II)-TET method) or the infrared spectroscopy (FTIR) method for determination of the bentonite content or methods that use image recognition, gravimetric method for moisture content and compression strength test [4,[10][11][12][13][14]. The image recognition method is based on decomposing color images into three-channel images and then performing gray subtraction calculation and gray level transformation of gray images.…”

Section: Introductionmentioning

confidence: 99%

“…The image recognition method is based on decomposing color images into three-channel images and then performing gray subtraction calculation and gray level transformation of gray images. In the last step, the outer circle of light blue halo and inner circle of blue patch are extracted and their area ratio is calculated [12].…”

Section: Introductionmentioning

confidence: 99%

Nondestructive, Microwave Testing of Compression Strength and Moisture Content of Green Molding Sands

Gal

Nowak

2021

J Nondestruct Eval

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A nondestructive microwave testing method to control the green compression strength and moisture content was proposed and demonstrated. There are various green moulding sands, both qualitative (bentonite type) and quantitative (bentonite and water content), prepared. The permittivity measurements were performed by cavity perturbation technique (CPT) at 2.45 GHz. Relative complex permittivity of the bentonite bonded moulding sands is proportional to the bentonite and moisture content and is inversely proportional to green compressive strength. It was shown that the obtained permittivity value of the molding sands be used to investigate the green compression strength and moisture content.

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“…Once the abnormal situation is analyzed, the alarm signal is automatically issued through the sound optoelectronic and other prompting, which leads people to monitor the people's attention, subverts the traditional mode of monitoring and analysis by the monitoring personnel and greatly alleviated the supervision and the burden of personnel. It is because the intelligent video surveillance has the advantages of digital, network and intelligence which cannot be compared with traditional artificial monitoring, and it is in line with the development trend of modern monitoring system [2], so the traditional video surveillance is being gradually replaced by intelligent video surveillance and is widely used in various industries.…”

Section: Introductionmentioning

confidence: 99%

Application of Computer Image Recognition Technology in Campus Monitoring

Feng¹,

He²

2018

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

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Abstract. Based on the application of computer image recognition technology in university campus monitoring, to automatically realize the intelligent management of university by image recognition technology, this scheme could be used in the practical application of campus situation monitoring, face recognition, campus anomaly monitoring, fire prevention and theft, etc. In the process of intelligent automatic monitoring, we could make use of sound, light, electricity, mobile communication and so on for early warning; it could also analyses the behavior characteristics of university personnel, and automatically form monitoring reports and reports. Finally, the Java language was used to implement the algorithm, and the video and audio stream scheme FFmpeg was used to intercept the monitored video. The image processing was mainly called open source cross platform computer vision library, Opens, to decompose and recognize the face in the image. The simulation experiment results showed that the image recognition algorithm based on image fingerprint had short operation time and high efficiency. This method can effectively monitor and monitor the abnormal changes of campus, face recognition, statistical time and the number of colleges and universities, and can monitor and judge the accidents such as fire and theft.

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A rapid automatic analyzer and its methodology for effective bentonite content based on image recognition technology

Cited by 6 publications

References 4 publications

Implementation of Computer-Based Vision Technology to Consider Visual Form of Ceramic Mural Art

Implementation of Computer-Based Vision Technology to Consider Visual Form of Ceramic Mural Art

Nondestructive, Microwave Testing of Compression Strength and Moisture Content of Green Molding Sands

Application of Computer Image Recognition Technology in Campus Monitoring

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