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Methods for the optical detection of objects or object streams, the surfaces of which are capable of reflecting or scattering light, which have self-affine or self-similar or fractal patterns or structures
Methods for the optical detection of objects or object streams, the surfaces of which are capable of reflecting or scattering light, which have self-affine or self-similar or fractal patterns or structures
The invention concerns a process for the optical detection of objects or object streams whose surfaces can reflect or scatter light and which have autoaffine, autosimilar or fractal patterns or structures on their surfaces or within themselves, or can form or engender such patterns. The process involves the use of a lighting system to illuminate the objects or object streams in question and an optical imaging and receiving system with, downstream of the latter, an electronic system for the reception and evaluation of the imaging light reflected or scattered from the surfaces. The imaging beam is scanned in a series of optical patterns, the scanning process being based on a similarity-transformation algorithm so that combination of the individual optical patterns is spatially and/or chronologically an autoaffine, autosimilar or fractal scaling, rotation or translation and at least two variables are set. At each stage of the scaling, rotation or translation, the detection events obtained from the scanning process via the variables are recorded and updated in a storage device to produce value pairs. The logarithms of the scaling, rotation or translation variables are used to calculate the scaling, translation or rotation function (for example, where the underlying operation is scaling and the objects or object flows have autosimilarity, the value pairs are related by a linear function).
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