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A passive component inspection machine is to obtain a image o f a passive component by using a specific lighting and camera, and to detect defects on the image of the component. It inspects all the aspects of the component based on the image which is captured by using the li g tings and cameras. The number of the lightings and cameras are proportional to the number of the c omponent aspects. To detect the defects of the component effectively, the difference between the image qu ality by each camera should be minimized. Even if the light conditions are calibrated automatically, the a v rage intensities of the images are different because of influence of Bayer filter which is used in CCD camera in the pa ssive component inspection machine. Moreover, there is one more problem that the range of the light int ensi y cannot cover the range of the component reflectance. Sometimes, it is needed to calibrate a gain valu e and white balance ratios of the camera manually. In order to solve the problems, we propose an automatic calib ration method of the optical system in passive component inspection machine. The proposed method minimiz es the influence of Bayer filter, does not use any initial camera calibration, and find the optimal values f or the overall gain and white balance ratios of red, green, blue colors automatically. To reduce the influence of Bayer filter, we perform to find the optimal values of all colors balance ratio iteratively and formulate a rela tion between the overall gain and the white balance ratios to control all the parameters automatically. The pro posed method is simple and the experimental results show that the proposed method provides faster and more preci se than the previous method.

Automatic Calibration of the Optical System in Passive Component Inspection