Data compression for digital video cameras in online machine vision systems

Norhashim M. Arshad; David Mark Harvey; Clifford Allan Hobson

doi:10.1117/12.326975

6 October 1998 Data compression for digital video cameras in online machine vision systems

Norhashim M. Arshad, David Mark Harvey, Clifford Allan Hobson

Proceedings Volume 3521, Machine Vision Systems for Inspection and Metrology VII; (1998) https://doi.org/10.1117/12.326975
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

The work has set out to investigate the application of data compression on real-time images used in shape measurement and machine vision applications. The quality of monochromatic images produced from compression based on the lossless schemes and DCT transform were analyzed for their degradation level. The lossy based DCT method appeared to provide the higher compression ratio of 6:1 required. Special concern was focused into the fringe pattern analysis area, whereby how the degraded compressed fringe images could possibly effect the accuracy of its application output. The real-time image compression mechanism is anticipated for a seamless transmission to a personal computer, through a standard interface channel.

Citation Download Citation

Norhashim M. Arshad, David Mark Harvey, and Clifford Allan Hobson "Data compression for digital video cameras in online machine vision systems", Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); https://doi.org/10.1117/12.326975

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