Automated dimensional analysis using a light-sectioning microscope
- Dayton Univ., OH (United States)
- Mound, Miamisburg, OH (United States)
A computer vision system has been integrated with a modified light-sectioning microscope for quality control and inspection of a machined part whose critical dimensions are 30 to 300 {mu}m. Height measurements were determined by analysis of the projected light-section line. Transverse measurements were made using the microscope in a traditional configuration with illumination from selected elements of an external LED ring array. The light section irradiance was under computer control to accommodate the spatial variations in surface reflectance whose dynamic range exceeded that of the vision system. Part features are located by the vision system. Edges and line centers are then measured to sub-pixel resolution with a gray-level analysis algorithm. This paper describes the design and operation of this system. Details of the measurement process and analysis algorithms are provided.
- Research Organization:
- Mound, Miamisburg, OH (United States)
- Sponsoring Organization:
- USDOE, Washington, DC (United States)
- DOE Contract Number:
- AC24-88DP43495
- OSTI ID:
- 285250
- Report Number(s):
- MLM--3564(OP); CONF-8811254--1; ON: DE96012974
- Country of Publication:
- United States
- Language:
- English
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