Optical Color Image Processing For Product Inspection

Jeffrey Richards; David Casasent; Jin-Yun Wang; Ren-Chao Ye

doi:10.1117/12.949033

7 March 1989 Optical Color Image Processing For Product Inspection

Jeffrey Richards, David Casasent, Jin-Yun Wang, Ren-Chao Ye

Proceedings Volume 1005, Optics, Illumination, and Image Sensing for Machine Vision III; (1989) https://doi.org/10.1117/12.949033
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

Several optical processors using color information for product inspection are described. The systems described employ the use of inputs in different colors (RGB) to provide: enhancement of portions of the product, reduced noise, and improved contrast ratio for better optical Hough transform mensuration data. They also include a new frequency-multiplexed multi-color correlator and new and efficient techniques to employ only one or two wavelength sources in color procesng with a color liquid crystal television (LCTV). Real time optical laboratory data using an LCTV and thermoplastic light modulator are presented for optical Hough transform and correlation systems for product inspection. The color LCTV's phase distortion, contrast ratio and pixel size and the thermoplastic camera's parameters are quantified and analyzed.

Citation Download Citation

Jeffrey Richards, David Casasent, Jin-Yun Wang, and Ren-Chao Ye "Optical Color Image Processing For Product Inspection", Proc. SPIE 1005, Optics, Illumination, and Image Sensing for Machine Vision III, (7 March 1989); https://doi.org/10.1117/12.949033

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