Imaging sensors for machine vision systems include area sensors found in tube and solid state video cameras, linear arrays, and point detectors used in flying spot scanners. With any such sensor image quality is determined by several factors: spatial resolution, dynamic range, spectral sensitivity, etc. In addition, imager defects like structured pattern noise, smear, variations in sensitivity, or poor spatial sampling preclude detection of small changes in reflectivity or depth and limit the performance of pattern recognition algorithms. This paper evaluates several types of imaging sensors and critically reviews their performance for demanding machine vision inspection tasks which require discrimination of several colors, shades of grey, or levels of depth.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Image Quality Evaluation Of Machine Vision Sensors


    Contributors:

    Conference:

    Optics, Illumination, and Image Sensing for Machine Vision II ; 1987 ; Cambridge,CA,United States


    Published in:

    Publication date :

    1988-02-12





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Comparison Of Machine Vision Sensors

    Svetkoff, Donald J. | SPIE | 1988



    Machine vision protector of quality

    Soliman,J.T. | Automotive engineering | 1988


    Smart sensors yield fast and robust machine vision

    Gokstorp, M. / Gunnarsson, K. | British Library Online Contents | 2000


    Image and Signal Sensors for Computing and Machine Vision: Developments to Meet Future Needs

    Jansen-van Vuuren, Ross D. / Shahnewaz, Ali / Pandey, Ajay K. | Springer Verlag | 2019