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).
Adaptive imager: a real-time locally adaptive edge enhancement system
High-Speed Inspection Architectures, Barcoding, and Character Recognition ; 1990 ; Boston,MA,United States
Proc. SPIE ; 1384
1991-02-01
Conference paper
Electronic Resource
English
Image Content Based Improvements to Locally Adaptive Video Enhancement
British Library Conference Proceedings | 1994
|Real-time microwave radiometric imager
Tema Archive | 1977
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