Estimation of measuring position errors with CCD camera

Taiyi Zhang

doi:10.1117/12.135922

12 August 1992 Estimation of measuring position errors with CCD camera

Taiyi Zhang

Proceedings Volume 1656, High-Resolution Sensors and Hybrid Systems; (1992) https://doi.org/10.1117/12.135922
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States

Abstract

The measuring errors are produced in the position measurement with CCD camera as a result of the chip construction and electronic noices. This paper gives an error estimation method and the relation of the measuring errors with signal quantized levels. It is pointed out to increase the quantized level unlimitedly is helpness for decreasing the measuring error from the CCD'' intrinic attribute and noices. CCD camera is widely used in position measurement of motion objects. The errors are produced in the position measurement as a result of the intrinsic attribute of the CCD chip and electronic noices. The measurement precision of the CCD measuring system is estimated with the rootmean square ofmeasured position. 1. The relation of the measuring errors from the intrisincal arrtibute of CCD'' construction with the quantized level Generally the position readings from the intrinsic attribution of CCD'' construction have uniform distribition characteristics. Supposing the maximum deviation of the contmous random variate on uniform distribition is A the rootmean square ofthe variate is Foe example supposing the maximum deviation of measured objectposition is half sensing element (1 1 2 pixel) the measurement precision is T pixel. But the calculation method has limitation not to permit the system to discriminate the signal. Once the image signals are discriminated the results above must be corrected. The quantizer one of the discriminators is an important part of image processing system. The

Citation Download Citation

Taiyi Zhang "Estimation of measuring position errors with CCD camera", Proc. SPIE 1656, High-Resolution Sensors and Hybrid Systems, (12 August 1992); https://doi.org/10.1117/12.135922

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