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  • A High Quality Image Stitching Process forIndustrial Image Processing and QualityAssurance

    Rolf Hoffmann

    Kapitel/Beitrag aus dem Buch: Beyerer J. & Längle T. 2021. OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings.

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    The size of the recording area of a camera is limited.
    The resolution of a camera image is also limited. To capture
    larger areas, a wide angle lens can be used, for example. However,
    the image resolution per unit area decreases. The decreased
    image resolution can be compensated by image sensors with a
    higher number of pixels. However, the use of a high pixel number
    of image sensors is limited to the current state of the art and
    availability of real image sensors. Furthermore the use of a wide
    angle lens has the disadvantage of a stronger distortion of the
    image scene. Also the viewing direction from a central location
    is usually problematic in the outer areas of a wide angle lens.
    Instead of using a wide angle lens, there is still the possibility
    to capture the large image scene with several images. This can
    be done either by moving the camera or by using several cameras
    that are positioned accordingly. In case of multiple image
    captures, the single use of the required image is a simple way
    to evaluat e a limited area of a large image scene with image
    processing. For example, it can be determined whether a feature
    limited by the size is present in the image scene. The use
    of this simple variant of a moving camera system or the use of
    single images makes it difficult or even impossible to use some
    image processing options. For example, determining the positions
    and dimensions of features that exceed a single image is
    difficult. With moving camera systems, the required mechanics
    add to the effort, which is subject to wear and tear and introduces
    a time factor. Image stitching techniques can reduce many
    of these problems in large image scenes. Here, single images
    are captured (by one or more cameras) and stitched together to
    fit. The original smaller single images are merged into a larger
    coherent image scene. Difficulties that arise here and are problematic
    for the use in industrial image processing are, among
    others: the exact positioning of the single images to each other
    and the actual joining of the imag es, if possible without creating
    disturbing artifacts. This publication is intended to make a
    contribution to this.

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    Empfohlene Zitierweise für das Kapitel/den Beitrag
    Hoffmann, R. 2021. A High Quality Image Stitching Process forIndustrial Image Processing and QualityAssurance. In: Beyerer J. & Längle T (eds.), OCM 2021 – 5th International Conference on Optical Characterization of Materials, March 17th – 18th, 2021, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000128686-18
    Lizenz

    This chapter distributed under the terms of the Creative Commons Attribution + ShareAlike 4.0 license. Copyright is retained by the author(s)

    Peer Review Informationen

    Dieses Buch ist Peer reviewed. Informationen dazu Hier finden Sie mehr Informationen zur wissenschaftlichen Qualitätssicherung der MAP-Publikationen.

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    Veröffentlicht am 17. März 2021

    DOI
    https://doi.org/10.58895/ksp/1000128686-18