TY - GEN
T1 - Nonuniformity correction and calibration method in the high-precision CCD measurement and servo control system
AU - Li, Jing
AU - Wang, Junzheng
AU - Zhou, Bin
AU - Shen, Wei
PY - 2009
Y1 - 2009
N2 - The CCD pixels nonuniformity may give a greater margin of error to measurement results in the high-precision CCD measurement and servo control system. The paper analyzes the image pixels nonuniformity caused by noises, and establishes the corresponding image model. Adaptive threshold value segmentation algorithm is used for image binarization. An algorithm using two point linear method for pixel nonuniformity correction, getting center coordinates of facula by calculating the zeroth order moment and first moment of image is put forward, and a new image calibrated method that transforms the image coordinates into the real is introduced. Experimental results show that the algorithm can separate light intensity parts from the image, correct pixel nonuniformity, and stabilize pixel gray value of light intensity spots. It will make the center coordinates of image light intensity spots stable and decrease the error of the real coordinates after conversion, if the images are acquired under the same condition. The measurement precision as well as the control precision is improved greatly.
AB - The CCD pixels nonuniformity may give a greater margin of error to measurement results in the high-precision CCD measurement and servo control system. The paper analyzes the image pixels nonuniformity caused by noises, and establishes the corresponding image model. Adaptive threshold value segmentation algorithm is used for image binarization. An algorithm using two point linear method for pixel nonuniformity correction, getting center coordinates of facula by calculating the zeroth order moment and first moment of image is put forward, and a new image calibrated method that transforms the image coordinates into the real is introduced. Experimental results show that the algorithm can separate light intensity parts from the image, correct pixel nonuniformity, and stabilize pixel gray value of light intensity spots. It will make the center coordinates of image light intensity spots stable and decrease the error of the real coordinates after conversion, if the images are acquired under the same condition. The measurement precision as well as the control precision is improved greatly.
UR - http://www.scopus.com/inward/record.url?scp=77950798383&partnerID=8YFLogxK
U2 - 10.1109/CDC.2009.5400311
DO - 10.1109/CDC.2009.5400311
M3 - Conference contribution
AN - SCOPUS:77950798383
SN - 9781424438716
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 8446
EP - 8451
BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Y2 - 15 December 2009 through 18 December 2009
ER -