Study on the Detection and Selection of Bearing Diameter Based on Machine Vision System
| Autor: | Fu Sheng Yu, Teng Fei Li, Zhong Guo Sun, Sheng Jiang Yin, Wei Kang Shi |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
Bearing (mechanical) business.industry Machine vision Noise reduction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Medicine Processing Edge detection Gaussian filter law.invention symbols.namesake law symbols Ball (bearing) Robot Computer vision Artificial intelligence business computer computer.programming_language |
| Zdroj: | Applied Mechanics and Materials. 533:298-302 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.533.298 |
| Popis: | A new method and system for inspecting the bearing diameter is developed. The mechanical and movement control units, as well as its machine vision system, are designed. A precision measuring method based on machine vision system is developed to measure bearing diameter. Computer outputs the bearing edge contour and its three-dimensional coordinates after image processing software process the image of bearings which are collected by CCD camera. The controller controls the operation of motor by ball screws and drives the movement of individual parts which can crawls the gripper in the three-dimensional coordinates. Inductive gage is used to measure bearing diameter. Besides, a technology roadmap of image edge character detection is analyzed .Gaussian filter is used to noise reduction of the image and canny operator is used to edge detection. Template match is adapted to the automatic recognition of bearing characteristics. The paper may be helpful to those who work on the same subject in future. |
| Databáze: | OpenAIRE |
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