A Phantom Study and a Retrospective Clinical Analysis to Investigate the Impact of a New Image Processing Technology on Radiation Dose and Image Quality during Hepatic Embolization

2016 ◽  
Vol 27 (4) ◽  
pp. 593-600 ◽  
Author(s):  
Jaydev K. Dave ◽  
David J. Eschelman ◽  
Jenna R. Wasserman ◽  
Carin F. Gonsalves ◽  
Eric L. Gingold
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Radiation Dose ◽  
Clinical Analysis ◽  
Phantom Study ◽  
Processing Technology ◽  
Image Processing Technology ◽  
The Impact

scholarly journals Image Processing Technology Based on Internet of Things in Intelligent Pig Breeding

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shan Hua ◽  
Kaiyuan Han ◽  
Zhifu Xu ◽  
Minjie Xu ◽  
Hongbao Ye ◽  
...  
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Processing Technology ◽  
The Internet ◽  
Image Processing Technology ◽  
Pig Farms ◽  
Intelligent Management ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In recent years, with the continuous innovation of the Internet of Things technology, the image processing technology in the Internet of Things technology has become more and more mature. Automated pig raising will become the mainstream pig raising technology, making the research of image processing technology in the intelligent pig breeding face a change. It has become more and more important. The traditional pig raising model cannot provide a suitable growth and development environment for the pigs. The pigs are disturbed by diseases and environmental discomforts during the growth process, which increases the mortality of the pig breeding process and cannot provide consumers with a guarantee. In order to solve the problem of unfavorable factors during the growth of live pigs, this article uses image processing technology to analyze data through images obtained through automated monitoring and management, uses the system to conduct intelligent, digitized, and standardized management of pig breeding data, and reports to the corresponding. The control module issues instructions to improve the corresponding environmental information and realize the intelligent management of pig breeding. This article will use image processing technology to monitor the growth of pigs in intelligent pig breeding. Studies have shown that the use of image processing technology to realize the intelligent management of pig breeding can help pig farms to carry out manual management to improve production efficiency and management efficiency. The management mode of the pig industry has changed from fuzzy to refined. The breeding cost of pig farms and a lot of manpower and material resources should be reduced, reducing the probability of pigs getting sick and the impact of the environment, reducing the mortality of pigs, improving their economic benefits, and providing consumers with a strong guarantee.

Tool Life Evaluation Methods of Heavy Forging Hogging Machining Based on Image Processing Technology

2013 ◽  
Vol 670 ◽  
pp. 169-173 ◽  
Author(s):  
Xian Li Liu ◽  
Geng Huang He ◽  
Wen Dong Li ◽  
Fu Gang Yan
Keyword(s):  
Image Processing ◽  
Tool Life ◽  
Evaluation Method ◽  
Cutting Tool ◽  
Processing Technology ◽  
New Method ◽  
Work Piece ◽  
Life Evaluation ◽  
Image Processing Technology ◽  
The Impact

In practical production, the evaluation method of tool life that heavy forging shell ring is in hogging machining compare the length of its processing surface in a single direction, the method considers neither the actual cutting distance of cutting tool, nor the impact times sustained by the cutting tool, this paper provides a new method of tool life evaluation based on image processing technology. Through collecting images of processing surface of the work-piece, which contains the different colors and brightness caused by processed and unprocessed, and image processing, analysis and calculation, the new method can accomplish the calculation about the effective cutting distance of cutting tool and the number of impact force about cutting tool, it will be more scientific and more reasonable evaluation method of tool life. Finally, one example is given. New method can be used to provide accurate evaluation of tool life and material machinability for the machining of large forgings.

MEASUREMENT METHOD FOR WAVE RUNUP HEIGHT USING IMAGE PROCESSING TECHNOLOGY

2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  
Keyword(s):  
Image Processing ◽  
Measurement Method ◽  
Processing Technology ◽  
Wave Runup ◽  
Image Processing Technology ◽  
Runup Height

Image processing technology in American football teaching

2021 ◽  
pp. 002072092110134
Author(s):  
Dehai Song
Keyword(s):  
Image Processing ◽  
Deep Understanding ◽  
Teaching Experience ◽  
Processing Technology ◽  
American Football ◽  
Analysis And Evaluation ◽  
Athletic Ability ◽  
Image Processing Technology ◽  
Characteristics Of Image ◽  
Use Of Knowledge

Based on the development and advantages of digital image processing technology, this paper introduces its application in American football teaching. Aiming at the characteristics of image processing technology and practicality, the deep learning is introduced into the American football teaching process. Combining the characteristics of electronic information subject and years of teaching experience, the teaching mode and practice of American football are discussed. This lets students analyze and solve practical problems, promote students' deep understanding of knowledge, flexibly grasp the use of knowledge, and enhance their ability to innovate. The multi-processing technology of motion video image based on the analysis and evaluation of non-interference technology has been widely used and developed in the field of modern sports. It has an important help and support for improving the athletic ability of elite athletes. The practice has won the support and recognition of the majority of coaches and athletes.

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