Abstract: The invention relates to a method for capturing images of a preferably structured surface of an object, using at least one line-scan camera for scanning the surface, wherein the surface is illuminated in a structured manner and wherein for reconstruction of the surface a time-oriented evaluation and/or spatial evaluation of acquired images is effected optionally taking into account a relative movement between the line-scan camera and the surface. Said method is carried out by a device for capturing images of a preferably structured surface of an object.

Abstract: The aim of the invention is a quick and very precise reconstruction of an object. This is achieved by a device and a method for detecting an image of a preferably structured surface of an object (6), comprising at least one pattern projection unit for illuminating the object (6) and at least one imaging unit (7) for capturing images of projected patterns. A temporal and/or spatial analysis of received images or image sequences is carried out in order to reconstruct the surface. The at least one pattern projection unit is designed to generate patterns using a diffraction of light on an optical grating. Furthermore, the method for detecting images is characterized in that by using the temporal and/or spatial analysis of the captured images or image sequences, corresponding pixels are ascertained by means of algorithms, said pixels together with an imaging function allowing a triangulation of surface points.

Abstract: The invention relates to a method for detecting deviations of an object surface using a comparison between measured data of the surface and specified reference data. A surface description, at least portions of which are parametric, is generated as a target surface model using the specified reference data, and the comparison is carried out using the target surface model and the measured data. The invention likewise relates to a device for detecting deviations of an object surface using a comparison between measured data of the surface and specified reference data.

Abstract: According to the invention, a method for detecting and measuring local shape deviations in flat, curved, or domed surfaces of a test object, wherein three-dimensional measurement data (D) of the surfaces are evaluated by means of an evaluating apparatus, is designed and further developed, with regard to nondestructive testing of test objects with objective and easy-to-interpret assessment results, in such a way that the evaluating apparatus uses at least one virtual filter element as a concave filter for detecting concave sub-areas in flat or convex surfaces and/or as a convex filter for detecting convex sub-areas in flat or concave surfaces, that the filter element determines magnitudes of the shape deviations, and that said magnitudes are output by means of an outputting apparatus as measured values. The invention specifies a device for performing a corresponding method.

Abstract: A method for detecting and measuring local deviations from the form in planar, curved, or arched surfaces of a test object is provided, whereby three-dimensional measurements (D) of the surfaces are processed with an evaluation unit, embodied and further developed with regards to a non-destructive examination of test objects with objective and easily interpreted assessment results such that the evaluation device uses at least one virtual filter element as a concave filter for detecting concave partial areas in planar or convex surfaces and/or as a convex filter for detecting convex partial areas in planar or concave surfaces, that the filter element determines values of the deviations from the form, and that they are displayed via a display device in the form of measurements. A device for executing a respective method is provided.

Abstract: A method and an apparatus for modifying image forming data including the steps of establishing parameters of an artificial neuronal net during a teaching process on the basis of uncorrected image data and of providing target data based on the original image to be reproduced. The outputs of the neuronal net are utilized for operating an image reproduction device in accordance with data signals modified by the neuronal net on the basis of deviations between the error-free original image and the image to be reproduced.

Abstract: The invention relates to a method of detecting flaws in the surface of a test object relative to the surface of a flawless master part by constructing in an artificial neuronal net a virtual master part for comparison with characteristic numbers derived from the grey values of sequential images of the test object recorded by a digital camera.

Abstract: A method of defining deviations from a desired position of pixel sites in an image recording matrix by defining the 3-D data of a planar or slightly curved surface. To the extent necessary the results are smoothed, and the measuring points, utilizing the 3-D data, are projected back the sensors of the image recording matrix for determining the difference between the two points projected onto the sensors and associated with a 3-D measuring point. After selectively shifting the surface relative to the 3-D measuring system, prior method steps are repeated until the desired accuracy in the definition of the deviation has been has been attained.

Abstract: A method of taking three-dimensional measurements of an object surface by means of a camera movable between initial and terminal positions relative to the object surface in which object coordinates are determined by gray scale curves of images formed on sensors of the camera. Tracking of characteristics of an image taken at an initial position to an image taken at a terminal position is made safer and simpler by incremental tracking over one or more images taken at camera positions intermediate the initial and terminal positions.