Title :
Automatic inspection of backlight modules by using support vector regressions
Author :
Wu-Ja Lin ; Sin-Sin Jhuo
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
Abstract :
In this manuscript, we propose to use the support vector regressions to inspect the backlight modules. In building the models of the support vector regressions, various combinations of parameters are examined and the accuracy are found to be similar. Experimental results show that the accuracy achieved by the proposed method is satisfactory.
Keywords :
computerised instrumentation; inspection; liquid crystal displays; regression analysis; support vector machines; LCD devices; automatic inspection; backlight modules; liquid crystal display; support vector regressions; Accuracy; Cameras; Charge coupled devices; Inspection; Noise; Support vector machines; Training data;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC), 2013 IEEE International
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4673-4621-4
DOI :
10.1109/I2MTC.2013.6555731