Edge enhancement is typically the first processing step for computer vision applications. Edge enhancement can also be applied in bringing out the detail in a scene for human viewing. The Intensity Dependant Spatial Summation (IDS) vision model is a spatially variant algorithm which provides an increased level of edge enhancement. The 1DS model is implemented as a large window convolution whose coefficients are a function of the input pixel''s intensity. IDS produces an output which requires only a one-crossing detector to find the edges. Because IDS is spatially variant it has the ability to enhance edges in the dark areas of a scene as well as the bright areas which in turn produces a visually enhanced output image. Odetics has developed a very high speed non-linear large area convolver system the Adaptive Imager (AIS). The Adaptive Imager is able to produce a 16-bit IDS output image at RS-170 video rate (30 frames per second).


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    Title :

    Adaptive imager: a real-time locally adaptive edge enhancement system


    Contributors:

    Conference:

    High-Speed Inspection Architectures, Barcoding, and Character Recognition ; 1990 ; Boston,MA,United States


    Published in:

    Publication date :

    1991-02-01





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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