A Method to Evaluate Mixture Segregation Based on Space Grid of Image Processing Technology

2013 ◽  
Vol 482 ◽  
pp. 49-52
Author(s):  
Hong Chao Li ◽  
Hong Ya Yue ◽  
Fei Ye ◽  
Jing Liu

A space grid method, based on image processing technology, was proposed to evaluate asphalt mixture segregation, which used the ratio of statistical data variance and its square of mathematical expectation to describe material uniformity by statistics of distribution of particles on space grid. Computer procedure was developed and some experiments are made. The results indicate that this method is simple and can be used to evaluate asphalt mixture uniformity quantitatively with a good adaptability.

2019 ◽  
Vol 75 (2) ◽  
pp. I_1267-I_1272
Author(s):  
Naoki FUKUHARA ◽  
Tetsuya TAKESHITA ◽  
Fuminori KATO ◽  
Takuya TERANISHI ◽  
Takahiro AKITA ◽  
...  

Author(s):  
Dehai Song

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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