Abstract: The invention relates to an image processing system for omnidirectional reading of optical patterns, for example of one-dimensional and two-dimensional codes. One object is to provide an image processing system which ensures high resolution with rapid processing at the same time in order, in particular, to allow processing in video real time and to provide reliable identification of the image information, in particular reliable and low-error edge detection, segmentation and object association. According to the invention, this is achieved by the use of a plurality of convolvers, which operate in parallel and/or using the time-division multiplexing method, for convolution of the digital image data, of a neighborhood processor (90) for reading and linking contour points (22), and/or of a statistical processor for reading a segment list.

Abstract: The invention relates to an image processing system for omnidirectional reading of optical patterns, for example of one-dimensional and two-dimensional codes. One object is to provide an image processing system which ensures high resolution with rapid processing at the same time in order, in particular, to allow processing in video real time and to provide reliable identification of the image information, in particular reliable and low-error edge detection, segmentation and object association. According to the invention, this is achieved by the use of a plurality of convolvers, which operate in parallel and/or using the time-division multiplexing method, for convolution of the digital image data, of a neighborhood processor (90) for reading and linking contour points (22), and/or of a statistical processor for reading a segment list.

Abstract: A method for configuring, on the basis of only a small number of reference images, image processing systems for the inspection of objects on the basis of geometric primitives extracted from the camera images in video real-time, by a user who is inexperienced in image processing but thinks technically-geometrically and is versed in the function of the objects to be inspected. In this case, the user's semantic knowledge is incorporated into the otherwise automatic calculation of the classifiers for the tolerant and positionally invariant recognition of the objects by virtue of the user, by means of an input device, deleting or else weighting the geometric primitives that are unsuitable for the classification selectively on the graphical interface.