An on-line video image processing system for real-time neutron radiography

The paper presents the selection of the most appropriate car park guidance system according to the evaluation criteria. For this purpose two technologies have been analyzed, which are as follows: the magnetic sensors’ system and the video image processing system. Due to significant differences between them, the multicriteria decision aiding method – Promethee II has been applied. Various aspects related to the operation and implementation of these systems have been taken into account, including: technical (resistance to vandalism, resistance to adverse weather conditions), organizational (assembly time) or economical (cost of implementation and operation of the system). The experiments have led to the ranking of variants. Next, the sensitivity analysis has been carried out aiming at verification of results. The recommended compromise variant is the car park guidance system based on video image processing system.

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Vehicle Detection Using Video Image Processing System: Evaluation of PEEK VideoTrak

Journal of Transportation Engineering ◽

10.1061/(asce)0733-947x(2003)129:4(462) ◽

2003 ◽

Vol 129 (4) ◽

pp. 462-465 ◽

Cited By ~ 15

Author(s):

Jutaek Oh ◽

John D. Leonard

Keyword(s):

Image Processing ◽

Processing System ◽

Vehicle Detection ◽

Video Image ◽

System Evaluation ◽

Image Processing System ◽

Video Image Processing

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Cf-252 BASED NEUTRON RADIOGRAPHY USING REAL-TIME IMAGE PROCESSING SYSTEM

Nondestructive Testing And Evaluation ◽

10.1080/10589750108953097 ◽

2001 ◽

Vol 16 (2-6) ◽

pp. 435-444 ◽

Cited By ~ 2

Author(s):

A. YAMAJI ◽

M. KOISO ◽

Y. KIMOTO ◽

K. MOCHlKI ◽

Y. MURATA ◽

...

Keyword(s):

Image Processing ◽

Real Time ◽

Neutron Radiography ◽

Processing System ◽

Image Processing System ◽

Real Time Image Processing ◽

Real Time Image ◽

Time Image

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Value Analysis of Video Image Multiprocessing Based on Vision Sensor in the Field of Football Scientific Research

Journal of Sensors ◽

10.1155/2021/9738380 ◽

2021 ◽

Vol 2021 ◽

pp. 1-14

Author(s):

Bin Li ◽

Gaoqing Ji

Keyword(s):

Image Processing ◽

Scientific Research ◽

Processing System ◽

Video Image ◽

Processing Technology ◽

Image Processing System ◽

Sports Video ◽

Image Processing Technology ◽

Exchange Information ◽

Video Image Processing

The development and application of mobile portable video capture and image processing systems, as well as the development and improvement of computer multimedia courseware technology have made image processing technology widely used in football project scientific research services. This research mainly discusses the value of video image multiprocessing based on vision sensors in the field of football scientific research. The development and conduct of this research work require the application of sports video image processing technology software to conduct scientific experimental research and analysis on the athletes’ technical and tactical level, evaluate the athletes’ technical and tactical performance through qualitative and quantitative tests, and give different sports items at the same time. Humans can exchange information with the outside world through vision, hearing, and language and can express the same meaning in different ways. However, current intelligent machines or computers require programs to be written in strict accordance with various machine languages. Only in this way can the machine run. In order to enable more people to use complex machines, it is necessary to change the past situation where people adapt to machines. Instead, let the machine adapt to people’s habits and requirements and exchange information with people in the way people are used to, that is, let the machine have the ability to see, hear, and speak. At this time, the machine must have the ability of logical reasoning and decision-making. Use sports video image processing technology and use examples to study and explore practical methods and means that are most in line with the scientific work of the project, and build the most scientific and useful sports video image processing system.. The CCD visual image sensor is used for signal acquisition and image processing when the motion video image processing system is established. Through logical analysis and induction, discuss and prove the intuitiveness, practicability, efficiency, and scientificity of the application of video image processing technology in the field of football scientific research. Finally, in the mathematical statistics method, the statistical software Excel 2003 in the office system is used to perform statistical analysis on all data results and analyze and compare the key kinematic parameters of some sports events. Analyzing the video images of the 2016 European Cup, the average possession rate of the Welsh team is 48%, and the average pass success rate per game is 82.7%. This research helps to improve the ability of football players to analyze, research, and evaluate sports skills.

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Design of DSP Video Image Processing System Control Software

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.2299 ◽

2010 ◽

Vol 139-141 ◽

pp. 2299-2302

Author(s):

Hong Yuan Wen

Keyword(s):

Image Processing ◽

Processing System ◽

Video Image ◽

System Control ◽

Image Processing Algorithm ◽

Control Software ◽

Ultra Low Power ◽

Image Processing System ◽

Protection Circuit ◽

Video Image Processing

In order to realize the DSP Video Image Processing System works well in the highlight environment, the system control software is designed. In this control part, the ultra-low power MSP430 single chip microcomputer (MCU) is the core, which can be programmed to control the DSP Video Image Processing System, the video A/D converter and the highlight protection circuit by the Inter-Integrated Circuit (I2C) bus. The Image Processing algorithm models can be selected. Whether the highlight protection circuit is turned on or not depends on the comparison result of the environment light and the MCU light threshold. The control program code has been debugged and tested through the MSP development board and the IAR C-SPY debugger. The result shows the DSP Video Image Processing System Control Software is ideal.

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