Title :
Automated shadow mask inspection using DSP
Author :
Woo, Dong-Min ; Park, Mignon
Author_Institution :
Dept. of Control & Instrumentation Eng., Myong Ji Univ., South Korea
Abstract :
Presents a new shadow mask inspection method which can detect the very small hole defects reliably and rapidly; the shadow mask line image data is periodical. The inspection method mainly depends on the fact that a small defect can be significantly emphasized in terms of the comparison between the image pixels departed by the period. In this paper, this comparison is implemented as the digital filtering algorithms, which can be rapidly processed by a DSP chip. In terms of the high speed line image sensing and fast algorithm by DSP, the whole inspection scheme sufficiently supports the real time shadow mask handing. From the experimental results, this scheme shows a reliable inspection capability for all types of individual hole defects
Keywords :
automatic optical inspection; computer vision; computerised pattern recognition; digital signal processing chips; factory automation; masks; DSP; automated optical inspection; digital filtering; factory automation; hole defects; image pixels; line image sensing; machine vision; real time; shadow mask inspection; Calibration; Cameras; Digital filters; Digital signal processing; Digital signal processing chips; Equations; Filtering algorithms; Inspection; Pixel; Spatial resolution;
Conference_Titel :
Intelligent Robots and Systems '91. 'Intelligence for Mechanical Systems, Proceedings IROS '91. IEEE/RSJ International Workshop on
Conference_Location :
Osaka
Print_ISBN :
0-7803-0067-X
DOI :
10.1109/IROS.1991.174467