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1. As a special computer vision system, the Vehicle License Plate Recognition (VLPR) System can capture a vehicle automatically and identify the numbers in the image.

2. The computer vision system using the presented defect detection method and image extraction technology can save time and raise precision.

3. The LPR system is a special computer vision system in the real - time case.

4. Automatic License Plate Recognition System is a specific computer vision system based on the specific goals of the vehicle license.

5. In complex environment, intelligent computer vision system can meet the needs of accurate recognition object.

6. When applying image analysis and computer vision system to aggregate particles[http://Sentencedict.com], the first working step is image acquisition. The quality of images mainly depends on how to acquire images.

7. Being a special computer vision system in the real-time case, the LPR system mainly includes the subsystem of license plate detection and character recognition.

8. As a special computer vision system, the Vehicle License Plate Recognition System can capture a vehicle automatically and identify the numbers in the image.

9. The computer vision system based on dynamic scene analysis has been a key research problem recently, especial for the movement parameters of the moving objects.

10. An advanced computer vision system for the recognition of the location and orientation of industrial objects is described.

11. As a comprehensive real-time computer vision system, the vehicles license plate recognition (LPR) mainly includes the division of license plate localization and recognition of character.

12. Being a special computer vision system in the real-time case, the LPR (License Plate Recognition) system mainly includes the subsystem of license plate detection and character recognition.

13. The boundary of the area of interest is located by using chain code method and precise boundary tracking method with a computer vision system.

14. In order to achieve autonomous flight of micro helicopter, a real-time computer vision system is presented in this paper.

15. A method for measurement of area and moment of inertia of plane figures grabbed by computer vision system is presented in this paper.

16. The paper presents the working process of mushroom pickup robot, the emphasis is put on the discussion of the basic algorithm of image analysis used in its computer vision system.

17. Color character analysis plays an important role in the computer vision system.

18. The distortion center must be solved in order to correct the image distortion resulting from the lens in computer vision system.

19. The accuracy of camera's calibration is crucial to the reliability of measurement in the computer vision system.

20. To get a color descriptor that is robust to illumination and has the color constancy function is very important for the entire computer vision system.

21. In this paper changing threshold segmentation and grid technology is applied so that computer vision system is to save time, to improve accuracy and processing speed.

22. Wu J. G, C. D. Liu, Y. L. Ren, G. H. Yang and C. H. Shi, Rapid test method of rice chalkiness based on computer vision system.