EP3853816A1 - Procédé mis en oeuvre par ordinateur pour la compression de données de mesure provenant d'une mesure d'un volume de mesure - Google Patents

Procédé mis en oeuvre par ordinateur pour la compression de données de mesure provenant d'une mesure d'un volume de mesure

Info

Publication number
EP3853816A1
EP3853816A1 EP19750120.8A EP19750120A EP3853816A1 EP 3853816 A1 EP3853816 A1 EP 3853816A1 EP 19750120 A EP19750120 A EP 19750120A EP 3853816 A1 EP3853816 A1 EP 3853816A1
Authority
EP
European Patent Office
Prior art keywords
area
compression
measurement data
measurement
compression rate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP19750120.8A
Other languages
German (de)
English (en)
Inventor
Matthias Flessner
Christoph Poliwoda
Christof Reinhart
Thomas Günther
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Volume Graphics GmbH
Original Assignee
Volume Graphics GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Volume Graphics GmbH filed Critical Volume Graphics GmbH
Publication of EP3853816A1 publication Critical patent/EP3853816A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T9/00—Image coding
    • G06T9/007—Transform coding, e.g. discrete cosine transform
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/08—Volume rendering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T15/00—3D [Three Dimensional] image rendering
    • G06T15/10—Geometric effects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals

Definitions

  • the invention relates to a computer-implemented method for compressing measurement data from a measurement of a measurement volume
  • a large number of methods are known for measuring and then imaging objects, such as workpieces.
  • very large amounts of data are generated depending on the desired level of detail in the image. This is particularly the case, for example, with inline workpiece testing, in which a large number of workpieces are measured and analyzed.
  • the measurement data from measurements of the examined workpieces are often archived for later traceability.
  • large data memories are required for the resulting data volumes. This applies in particular to tomographic processes like that Computed Tomography.
  • a large number of methods for compressing measurement data are known to reduce the large storage requirement for the measurement data of objects.
  • Compression methods which compress measurement data without loss.
  • the compression rate is defined as the quotient of the uncompressed amount of data and the compressed amount of data.
  • a compression rate of one does not mean a reduction in the amount of data, while the amount of data is compressed more with an increasing compression rate.
  • its compression rates can be around two. It is also possible to compress measurement data with loss, with higher compression rates being achieved here. However, the measurement data will then be falsified. Up to a compression rate of 15, no or only very small data errors could be observed in medical technology.
  • Methods are also known from medical technology which divide the data set into areas of different relevance. The areas marked as relevant by the user are compressed losslessly or only with very low losses, while in the remaining areas larger losses are accepted and thus a higher compression rate can be achieved. Local adaptive compression is thus provided.
  • US 9,869,645 describes the search for defects in the object using the example of the workpiece inspection.
  • the positions at which defects are searched can be in a
  • Volume representation of the object can be predefined.
  • the system searches for defects at the predefined positions.
  • An area of interest (ROI) is defined around defects found.
  • the data in the ROI is compressed less than outside.
  • the disadvantage here is that traceability of the analysis results cannot be reliably provided, since areas in which no defects were erroneously found are strongly compressed.
  • the task is therefore to provide a computer-implemented method that improves the compression rate of the measurement data and the application of analyzes to the measurement data.
  • the invention relates to a computer-implemented method for compressing measurement data from a measurement of a measurement volume which has an object, the measurement producing a digital representation of the object, the object representation having a large amount of image information of the object, the The method comprises the following steps: providing an evaluation specification for at least one predetermined area in the measurement volume, determining the measurement data in the measurement volume, defining a sub-area of the measurement data which corresponds to the at least one predetermined area of the evaluation specification, selecting a compression rate for the sub-area based on the evaluation specification, select a first one
  • Compression method from a large number of compression methods for a residual area of the measurement data outside the partial area the first compression method having a compression rate that is greater than the selected compression rate for the
  • Is partial area compress the partial area with the selected compression rate, and compress the measurement data in the remaining area with the first compression method.
  • the steps select a compression rate for the subrange based on the
  • Evaluation rule and selection of a first compression method from a large number of compression methods for a remaining area of the measurement data outside the partial area can be carried out in succession or simultaneously in any order.
  • the invention thus provides an evaluation specification which specifies in which areas of the measurement data a high quality of the data is required for an evaluation. These areas can also be arranged outside the object in order to analyze its surfaces and their external surroundings. This specifies the area outside of the measured data of the measurement volume that is determined by means of the partial area defined with the evaluation specification than within the partial area that designates the relevant analysis positions on the examined object.
  • the selection of the at least one selected compression rate in the partial area or a corresponding compression method can also be derived and / or specified from the evaluation rule. This allows the selection of the at least one selected compression rate for the partial area and the selection of the first compression method for the remaining area. The selection of the at least one selected compression rate for the
  • Subarea is based on the evaluation rule.
  • partial areas are not subjected to compression, so that the original measurement data are stored directly without compression can. Because outside of the sub-area a compression with a larger one
  • Compression rate takes place, can be a large medium for the entire measurement data
  • Compression rate can be achieved without falsifying the relevant data. If a compression rate greater than one is selected for the sub-area, corruption of the relevant data can also be avoided or only has to be done with one
  • a parameterization of the compression means that it can be determined in a spatially resolved manner how much the data is to be compressed, whereby this can be determined, for example, via a compression rate, but also which method of compression should be used.
  • Evaluation specification provides an automatic definition of the parameterization of the compression, which, compared to a manual definition of the parameterization, in particular since it is 3D data, takes significantly less time and less
  • Compression rate of the measurement data further. Processing the entire partial area with the selected compression rate ensures that the analysis results in the partial area are not or not significantly falsified by the compression. This ensures that analysis results in the predetermined areas can be tracked even after compression has taken place. Furthermore, the increased average compression requires less storage space when archiving the data and less bandwidth for the transport of the data. This provides a computer-implemented method that improves the compression rate of the measurement data and the application of analyzes to the measurement data.
  • the evaluation rule is typically defined on a nominal geometry of the workpiece to be examined and thus in the so-called workpiece coordinate system.
  • the workpiece coordinate system can be determined in the measurement data or on the basis of the geometry recorded by the measurement data.
  • Measurement data can be adapted to the nominal geometry. Furthermore, defined
  • Geometries are recorded and the measurement data are aligned using the 3-2-1 registration known from the prior art. This step can also be called registration.
  • Another method that can be used for registration is the analysis of features that can be reliably recognized in the measurement data, such as corners, edges, spheres or areas with high or characteristic curvature, which of the
  • Nominal geometry can be assigned.
  • the predetermined area may be referred to as a region of interest.
  • the digital representation of the object can be a two-dimensional object representation or a three-dimensional object representation.
  • the step of selecting a compression rate for the partial area can have:
  • the second compression method having a lower compression rate than the first compression method, and the step compressing the partial area with the selected one
  • Compression rate comprises: compressing the measurement data in the partial area with the second compression method.
  • Compression takes place in the partial area with a second compression method, which can differ from the first compression method.
  • the first compression method for the area outside the partial area can be lossy and the second compression method in the partial area can be loss-free.
  • the evaluation specification can be derived from a digital construction drawing of the object, the digital construction drawing tolerance values for the at least one predetermined area of the object.
  • the evaluation rule can have, for example, a definition of at least one analysis method to be carried out on the at least one predetermined area of the object, the at least one analysis method to be defined defining a target data quality for the at least one predetermined area.
  • the evaluation rule can have, for example, a definition of at least one analysis method to be carried out on the at least one predetermined area of the object, the at least one analysis method to be defined defining a target data quality for the at least one predetermined area.
  • Evaluation regulation further the second compression method depending on a
  • a digital construction drawing of the object is understood to mean a representation of the object which has data which are required for manual or automatic production of the object.
  • the representation of the object of the digital design drawing can be two-dimensional or three-dimensional.
  • the digital design drawing includes information on the extent to which a manufactured object may deviate from the dimensions specified by the digital design drawing.
  • predetermined ranges can be derived from the tolerance values, which define ranges in which an analysis of the data is to take place. So z. B. can be analyzed whether the object has dimensions that lie within the T oieranzen or outside.
  • the digital construction drawing can be used to derive predetermined areas which are of particular importance for an alignment, for example for determining the workpiece coordinate system or for registering the measurement data, and / or in which further analyzes or
  • Analysis types are to be performed, e.g., in the case of measurement data obtained using computed tomography, this can be porosity and inclusion analyzes or fiber composite material analyzes.
  • this can be porosity and inclusion analyzes or fiber composite material analyzes.
  • locally different minimum requirements for the data quality and thus the maximum permissible falsification of the measurement data can be made in different predetermined areas, so that the most suitable locally
  • Compression method can be selected in the sub-area, d. H. that the highest
  • Minimum data quality requirements can vary between different predetermined areas in the sub-area.
  • An example of this is the performance of a porosity analysis, in which defects must be recognized from a defined minimum size, from which a target data quality for the area to be analyzed can be derived.
  • each of the at least one selected compression rate is lower in the partial area than in the remaining area, regardless of analyzes that have already been carried out or are planned.
  • the method can comprise the following steps: defining a transition area of the measurement data of the remaining area, the transition area separating the remaining area from the partial area, selecting a third compression method from the plurality of compression methods for the
  • Transition area wherein the third compression method has a compression rate that is greater than the selected compression rate for the partial area and a lower compression rate than the first compression method, and compress the measurement data in the transition area with the third compression method.
  • the definition of the predetermined areas in the measurement data can have an uncertainty, so that relevant areas arranged on the edge are not covered by the evaluation rule.
  • the negative effects can be reduced in this way if the sub-area does not completely encompass a relevant area of the measurement data.
  • a variety of image artifacts are to be expected at hard limits of areas with very different compression, which could lead to incorrect analysis results in evaluation methods.
  • the third compression method can further have a position-dependent compression rate, the compression rate increasing in the transition area from the partial area to the remaining area.
  • the third compression method can thus create a smooth transition between the at least one selected compression rate and the compression rate of the second compression method between the partial area and the remaining area. This further reduces the formation of artifacts. This also further improves the results of the analyzes performed on the compressed data. Furthermore, it can be avoided that border areas that, for example, have an indirect influence on the evaluations carried out or are relevant for the determination of a workpiece coordinate system, can no longer be used for this determination due to a sudden change in the compression rates and the possible loss of data.
  • the method can include the following step: enlarging the partial area by a predefined security area.
  • the consideration of a predefined security area can alternatively or additionally be provided for executing the third compression method.
  • Safety area can be avoided that the edge areas of the at least one predetermined area do not completely include areas relevant for the analysis or the alignment with a workpiece coordinate system.
  • the image information can display a value of a measurement variable for the object at a defined position of the object.
  • the image information can thus be information at a position of the object defined by three dimensions.
  • This image information can e.g. B. result from a calculation based on a computed tomographic measurement.
  • the defined positions of the object form a three-dimensional grid or Voxei grid, each grid point representing the local X-ray absorption in the measurement volume as image information.
  • This representation can be referred to as a voxid representation.
  • the image information can be a three-dimensional point cloud, which depicts the object volume, the image information being associated with points on a surface of the object and their coordinates in space.
  • the individual points can also be connected, as in the STL file format, e.g. B. to form a closed surface and to map information about the orientation of the surface.
  • the image information can e.g. B. result from an optical detection of the object. This optical detection can take place from at least two viewing angles, so that a three-dimensional position of the image information on the surface of the object can be determined.
  • This voxid display or surface data can be compressed at different times. Do the compression before performing the
  • Evaluation rule carried out for example for data transmission, it must be ensured that the results of the evaluation rule are not influenced thereby or not significantly. If the compression is carried out after the evaluation specification has been carried out, e.g. for archiving, traceability must be ensured that a new evaluation also gives the same or not significantly influenced results. The compression requirements do not differ in these cases.
  • Video compression which are also used by formats such as GIF, PNG, JPEG or MPEG. These can be applied to individual layers of the voxid display, but also to the three-dimensional display. Furthermore, it is possible to locally reduce or vary the resolution or the bit depth of the voxid display. Other methods are also conceivable.
  • Various methods can also be used for the compression of the surface representation, for example a (local) reduction in the density of the stored surface points or a reduction in the resolution with which the coordinates of these points are stored.
  • the image information can be a value of a measurement variable along a
  • X-ray radiation was determined using a detector.
  • this image information which is usually arranged in a two-dimensional grid or pixel grid, each grid point can thus depict the X-ray absorption by the object along projection lines.
  • This data can be referred to as projection data.
  • Projection data of the measurement volume acquired from different angular positions can be used to reconstruct the above-mentioned voxid representation of the local x-ray absorption. This step is called reconstruction.
  • An evaluation rule is included
  • This projection data can also be compressed at different times.
  • the projection data can be compressed before the reconstruction is carried out, for example if a data transfer is necessary for the reconstruction. Furthermore, the projection data can also be carried out after the reconstruction
  • the compressed data can e.g. B. can be saved for later analysis and / or via data connections to possibly distributed electronic
  • Data processing systems are transmitted in order to structurally separate the calculation and analysis of the tomographic images from the recording of the measurement data.
  • the three-dimensional data can be reproduced from the projection data, so that separate archiving is not necessary. This reduces the required
  • the projection data can be interpreted as individual, two-dimensional projections, but also as a three-dimensional stack or three-dimensional image data set.
  • the same methods mentioned above, which can also be used for the compression of the voxid representation, can be used to compress the projection data.
  • the image information to be compressed can be before the implementation of the
  • the image information can also, for example for grid points of a three-dimensional grid, show a value of a distance to a closest surface of the object.
  • the image data thus form an implicit representation of the surface of the object, a so-called
  • the distance field can thus be stored with locally varying bit depth or the resolution can be locally reduced or varied. This allows several voxels to be combined in unimportant areas and with a common one
  • the step of defining a partial area of the measurement data, which corresponds to the predetermined area of the evaluation specification, can include a back calculation of the predetermined area to the object representation.
  • the back calculation can, for example, determine areas of projection data which are assigned to the area of the object representation predetermined in the evaluation specification, in order then to be able to define the partial area of the measurement data in the projection data.
  • this back calculation means, among other things, that those areas of the
  • Projection data are identified, which have a significant influence on the partial area of the measurement data during the reconstruction. These can be those areas of
  • the recording geometry can first be taken into account, which includes positioning and orientation of the object, i. H. Pose of the object, defined in the measurement volume.
  • an analysis of the projection data can be carried out with prior knowledge of the component geometry in order to determine the pose of the component in the measurement volume.
  • Measurement volume be ensured that the object is always in a defined, known pose in the measurement volume.
  • the workpiece coordinate system can by z. B. optical or tactile sensors on the measured object in the measurement volume.
  • the step of defining a partial area of the measurement data, which corresponds to the predetermined area of the evaluation specification, can be carried out on the basis of a measurement variable for the object at a defined position of the object, the measurement variable being calculated from one of the large number of image information items.
  • a reconstruction can be carried out, for example, in order to enable a re-assignment to the projection data based on the volume recorded by the reconstruction.
  • a preliminary workpiece coordinate system can be created in order to align the measurement data in such a way that the predetermined ones are determined using the evaluation rule
  • the method can include the following step: align one
  • the reconstruction can thus be carried out, for example, with a reduced resolution in order to minimize the computing time required.
  • Projection data are used for the reconstruction or only those areas are reconstructed which are necessary for an alignment of the measurement data.
  • this reconstruction z For example, a preliminary workpiece coordinate system can be created in order to align the measurement data so that the predetermined areas in the object display can be determined by means of the evaluation rule.
  • Compression are affected, saved.
  • a warning can be given if an analysis is carried out on an area with unsuitable compression. This avoids that, for example due to an incorrect preliminary registration, analyzes are carried out unnoticed in an area in which the measurement data have been falsified too much due to the compression, which means that falsified analysis results are to be expected.
  • the invention relates to a computer program product with instructions which can be executed on a computer and which, when executed on a computer, cause the computer to carry out the method according to the preceding description.
  • Figure 1 a, b is a schematic representation of an object using a three-dimensional
  • FIG. 2a, b show a schematic representation of an object from projection data
  • FIG. 3 shows a flow diagram of the method according to the invention. Features that are similar or identical to one another are identified below with the same reference symbols.
  • FIG. 1 a shows a schematic representation of a digital representation of an object, a so-called object representation 100, which is represented by means of a three-dimensional voxid representation.
  • the object representation 100 was made from a measurement of a
  • Measurement volume generated in which the object is arranged The three-dimensional
  • Voxid display includes a plurality of voxels that are arranged at defined positions in the entire volume of object creation 100.
  • the voxels define positions at which a measurement variable for the object is determined from the measurement data, the value of the
  • Measured variable is displayed by means of image information at the defined position in the object representation 100.
  • the image information of the three-dimensional voxid display is determined using measurement data from a measurement of the measurement volume in which the object is arranged.
  • a workpiece coordinate system of the object can first be determined. This determines the orientation and orientation of the object in the
  • the workpiece coordinate system or the orientation and orientation of the object can be determined provisionally. Once the workpiece coordinate system of the object has been determined, certain positions and areas in the
  • Object representation 100 can be identified.
  • the object creation 100 can then be processed using the computer-implemented method according to the invention for compressing measurement data from the measurement of a measurement volume in order to achieve compression of the measurement data from the measurement volume.
  • the method can provide an evaluation rule that can refer to at least one predetermined area in the measurement volume.
  • a partial area 104 of the measurement data is defined at least one predetermined area. This partial area 104 of the measurement data corresponds to the at least one predetermined area.
  • the evaluation rule can have information about which analysis methods are to be carried out within the predetermined ranges. Out This information is then used to select at least one compression rate for the sub-area.
  • This at least one compression rate can be referred to as at least one selected compression rate for the partial area.
  • the at least one selected compression rate in this example can also be viewed as the maximum compression rate that may be used for the partial area without the
  • Analysis methods determine different or significantly different results from the uncompressed data and the data reconstructed from the compressed data.
  • the at least one selected compression rate can therefore also be one. Furthermore, the at least one selected compression rate can vary over the partial area.
  • the partial area 104 is entered in the object representation 100 for illustration.
  • the partial area 104 is divided into two sub-areas 102, 103, since two predetermined areas are defined in the evaluation rule in this example.
  • any number of sub-areas 102, 103 can be encompassed by the partial area 104, which do not have to be connected to one another.
  • the partial area 104 can be enlarged by a security area.
  • areas that lie on the edge of the partial area 104 become the partial area 104
  • the voxels that are located outside of the partial area 104 are arranged in the remaining area 106.
  • the method creates a first one for the measurement data in the remaining area 106
  • Compression method selected that has the highest possible compression rate.
  • the compression rate of the first compression method is greater than the at least one selected compression rate for the subarea 104.
  • the first compression method can result in data losses cause the compression, so that afterwards not all information is available in the remaining area 106.
  • the measurement data in the remaining area 106 can then be compressed using the first compression method.
  • the measurement data in the partial area 104 can be compressed with the at least one selected compression rate.
  • the measurement data in the remaining area 106 are compressed to a greater extent than the measurement data which are arranged in the partial area 104. If the at least one selected compression rate is one, the subarea 104 cannot be subjected to compression or stored unchanged. Since the partial area 104 is relatively small compared to the remaining area 106, a relatively large average compression rate is nevertheless achieved across all measurement data without the relevant measurement data being lost in the partial area 104.
  • a transition area 110 can be defined between the partial area 104 and the remaining area 106, which separates the partial area 104 from the remaining area 106.
  • a third compression method with a compression rate that lies between the at least one selected compression rate for the partial region 104 and the compression rate of the second compression method can be selected here.
  • the compression rate of the third compression method can also vary, the compression rate increasing from a position in the vicinity of the partial region 104 to a position in the vicinity of the edge region 106. In this way, a sudden change in the compression rate between the partial area 104 and in the edge area 106 can be avoided. This avoids artifacts in the compressed data and also avoids that relevant areas of the measurement data, which were not completely captured by the partial area 104, are only exposed to small data losses through the compression, if at all.
  • FIG. 1 b shows the object representation 100 after the object creation 100 has been compressed.
  • the hatching in the remaining area 106 represents compression by the first compression method in which data losses have occurred.
  • the data has been compressed lossless within the subarea 104.
  • points are shown which indicate a smaller data loss than in the remaining area 106.
  • Transition areas 110 can serve for orientation within the object representation 100.
  • FIG. 2a shows an object representation 100, which represents measurement points of a projection 108, which have image information which indicates a value of a measurement variable along a projection line through the object.
  • the object representation 100 is therefore a projection of the object.
  • the projection data set consists of a large number of projections, which were recorded from different directions.
  • a partial region 104 can be defined for the object representation 100 of FIG. 2 a, which was selected on the basis of the evaluation specification.
  • the remaining area 106 of the object representation 100 is defined with the partial area 104. Furthermore, a transition area 110 can also be provided, which is arranged between the partial area 104 and the remaining area 106.
  • FIG. 2b A representation from the compressed data from FIG. 2a is shown in FIG. 2b.
  • FIG. 1b can be read analogously to FIG. 2b, so that reference is made to the preceding description in this regard.
  • FIG. 3 shows a schematic flow diagram of the method 200 for compressing the measurement data from a measurement of a measurement volume.
  • the measurement data are determined from a measurement volume in which an object is arranged.
  • a digital representation of the object is generated by the measurement, the
  • the Object display has a variety of image information of the object.
  • the Object representation can be a three-dimensional representation or a two-dimensional representation.
  • the three-dimensional representation can consist, for example, of three-dimensional voxi data from which tomographic sections can be extracted.
  • the three-dimensional representation can, for example, also be a three-dimensional surface representation of the object.
  • the image information shows a value of a measured variable for the object at a defined position of the object.
  • the evaluation specification can describe how much the stored surface points may be thinned locally by the compression method or the bit depth in which the coordinates of the individual points are to be stored.
  • the two-dimensional object representation can consist, for example, of projection data of the object.
  • the image information shows a value of a measured variable along a projection line through the object.
  • the image information can display a value of a distance to a closest surface of the object.
  • the data can e.g. B. stored with locally varying bit depth or the resolution can be locally reduced or varied.
  • the measurement data can optionally be based on a coordinate system that matches the evaluation rule, based on a part of the
  • Measurement data are aligned.
  • This workpiece coordinate system can bring about a preliminary alignment of the object display. If the compression is carried out before the evaluation of the measurement data, e.g. B. for a data transmission before the evaluation, a final, precise alignment can also take place after the compression of the data, but before the analysis.
  • an evaluation rule is provided for at least one predetermined area in the measurement volume.
  • the evaluation specification can be derived from a digital construction drawing of the object, the digital construction drawing having tolerance values for the at least one predetermined area of the object.
  • the evaluation specification can have a definition of at least one analysis method to be carried out on the at least one predetermined area of the object, the at least one analysis method to be defined defining a target data quality for the at least one predetermined area.
  • the target data quality ensures that the analysis of the measurement data can be carried out with sufficient quality.
  • analysis types which can be defined by an evaluation rule, are how and on which geometry elements a registration, i. H. the determination of the workpiece coordinate system, where it is carried out or where geometric elements are fitted in order to carry out dimensional measurements with regard to dimensions, shape and position, if necessary including specification of a tolerance.
  • the evaluation specification can define in which areas a target / actual comparison or a wall thickness analysis is carried out, in which areas analyzes with regard to defects, inclusions, porosity, foam structure or a fiber composite material analysis are carried out, in which areas numerical
  • Simulations for example structural mechanical simulations or simulation of
  • Transport phenomena are carried out, and / or which areas or sectional images are to be exported as an image file for a visual inspection - these can be views of particularly critical areas, for example, in order to enable the analysis result to be checked.
  • the evaluation specification thus defines, among other things, the types of analysis to be carried out locally.
  • the compression parameterization that is suitable for an evaluation specification can be created with the aid of simulations of the measurements and analyzes. Which can be derived by means of the simulation and the subsequent evaluation of the measurement with uncompressed data and data reconstructed from compressed data
  • the evaluation rule can be based on experience and
  • Allocation of a parameterization according to the requirements can also be taken into account, e.g. B. the minimum size of pores and fibers to be detected, the minimum size of geometrically correct structures that can be measured, ie the structure resolution, or a maximum value for the
  • the method also has method step 206, with which measurement data in the measurement volume are determined.
  • the determination of the measurement data can z. B. with computerized tomographic methods or optical methods. Other procedures for
  • Methods which provide tomographic measurement data or measurement data relating to the coordinates of the surface can be carried out.
  • a partial area of the measurement data is defined which corresponds to the at least one predetermined area of the evaluation specification.
  • This step can include a back calculation of the predetermined area on the object display.
  • the partial area can be defined on the basis of a measurement variable for the object at a defined position of the object, the measurement variable being calculated from one of the large number of image information items.
  • the partial area can be enlarged by a predefined security area.
  • measurement data that are arranged at a predefined distance from the partial area are integrated into the partial area.
  • a first compression method is selected from a large number of compression methods for a remaining area of the measurement data outside the partial area.
  • the first compression method has a compression rate that is greater than the at least one selected compression rate for the partial area.
  • step 214 at least one compression rate for the partial area is selected on the basis of the evaluation rule. If the at least one selected
  • Compression rate for the subrange is greater than one, a second
  • Compression method selected from the multitude of compression methods for the sub-area based on the evaluation rule.
  • the evaluation rule can determine the second compression method as a function of an analysis method to be carried out in the predetermined range. Steps 212 and 214 can be carried out in any order or simultaneously.
  • the sub-area is then compressed in a next step 216 with the selected at least one compression rate.
  • the measurement data in the partial area can be compressed using the second compression method if the selected at least one compression rate is greater than one.
  • a transition area of the measurement data of the remaining area can be defined in a step 218.
  • the transition area separates the remaining area from the partial area.
  • the transition area can extend around the partial area.
  • a third compression method can be selected from the plurality of compression methods for the transition region.
  • the third compression method has a compression rate that is greater than the selected compression rate for the partial area and less than the compression rate of the first compression method for the remaining area.
  • the transition area can rise smoothly from the partial area to the remaining area. That is, Different compression rates can be assigned to the different positions in the transition area. The closer the position is to the rest of the area, the higher it can be
  • the measurement data in the transition area can then optionally be compressed using the third compression method.
  • the measurement data in the remaining area can be compared with the first
  • Steps 216, 222, and 224 can be performed sequentially or simultaneously in any order.
  • the data Before the data is compressed, the data can be filtered to reduce the noise of the data. This means that higher compression rates can be used, at which the filtered data can be saved without loss.
  • One Deterioration of the resolution due to the broadening of the point spread function can be countered by a predefined upper limit for the width of the point spread function. In this case, data loss is limited to an acceptable deterioration in resolution.
  • Method 200 may be performed on a computer using a computer program product. Instructions are transmitted to the computer that cause the computer to execute the method 200.
  • the invention is not limited to one of the above-described embodiments, but can be modified in many ways.

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Abstract

L'invention concerne un procédé mis en œuvre par ordinateur pour la compression de données de mesure provenant d'une mesure d'un volume de mesure qui présente un objet, une représentation numérique de l'objet étant produite par la mesure, et la représentation de l'objet présentant une pluralité d'informations d'image de l'objet. Le procédé comprend les étapes suivantes : préparation d'une prescription d'évaluation pour au moins une partie prédéfinie dans le volume de mesure, détermination des données de mesure dans le volume de mesure, définition d'une partie des données de mesure qui correspond à la ou aux parties prédéfinies de la prescription d'évaluation, sélection d'au moins un taux de compression pour ladite partie sur la base de la prescription d'évaluation, sélection d'un premier procédé de compression parmi une pluralité de procédés de compression pour une partie restante des données de mesure hors de ladite partie, le premier procédé de compression présentant un taux de compression qui est plus élevé que le ou les taux de compression sélectionnés pour ladite partie, compression de ladite partie au ou aux taux de compression sélectionnés, et compression des données de mesure dans la partie restante par le premier procédé de compression. Le procédé mis en œuvre par ordinateur selon l'invention permet d'améliorer le taux de compression des données de mesure et l'utilisation d'analyses des données de mesure.
EP19750120.8A 2018-09-18 2019-08-05 Procédé mis en oeuvre par ordinateur pour la compression de données de mesure provenant d'une mesure d'un volume de mesure Pending EP3853816A1 (fr)

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DE102018122842.2A DE102018122842A1 (de) 2018-09-18 2018-09-18 Computerimplementiertes Verfahren zur Komprimierung von Messdaten aus einer Messung eines Messvolumens
PCT/EP2019/071047 WO2020057849A1 (fr) 2018-09-18 2019-08-05 Procédé mis en œuvre par ordinateur pour la compression de données de mesure provenant d'une mesure d'un volume de mesure

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EP3853816A1 true EP3853816A1 (fr) 2021-07-28

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US (1) US11830226B2 (fr)
EP (1) EP3853816A1 (fr)
JP (1) JP7562513B2 (fr)
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WO (1) WO2020057849A1 (fr)

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DE102018122842A1 (de) 2018-09-18 2020-03-19 Volume Graphics Gmbh Computerimplementiertes Verfahren zur Komprimierung von Messdaten aus einer Messung eines Messvolumens

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JP4064022B2 (ja) * 1999-03-31 2008-03-19 株式会社リコー デジタルカメラ
US7653252B2 (en) * 2005-09-22 2010-01-26 Compressus, Inc. Method and apparatus for boundary-based image compression
US7844097B2 (en) * 2007-12-03 2010-11-30 Samplify Systems, Inc. Compression and decompression of computed tomography data
US9869645B2 (en) * 2011-05-26 2018-01-16 General Electric Company System for non-destructive testing and method for processing data generated therein
KR101436894B1 (ko) * 2013-04-08 2014-09-02 현대엠엔소프트 주식회사 영상 전처리 장치 및 그 방법
GB2524956B (en) * 2014-04-01 2017-02-08 Canon Kk Method and device for encoding a plenoptic image or video
EP3166315A1 (fr) * 2015-11-05 2017-05-10 Axis AB Procédé et appareil permettant de commander un degré de compression d'une image numérique
CN108139799B (zh) * 2016-04-22 2022-01-14 深圳市大疆创新科技有限公司 基于用户的兴趣区(roi)处理图像数据的系统和方法
TWI685247B (zh) * 2017-06-14 2020-02-11 晶睿通訊股份有限公司 影像處理方法及其相關的攝影裝置與攝影系統
DE102018122842A1 (de) 2018-09-18 2020-03-19 Volume Graphics Gmbh Computerimplementiertes Verfahren zur Komprimierung von Messdaten aus einer Messung eines Messvolumens

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US11830226B2 (en) 2023-11-28
DE102018122842A1 (de) 2020-03-19
JP7562513B2 (ja) 2024-10-07
WO2020057849A1 (fr) 2020-03-26
JP2022502741A (ja) 2022-01-11
US20220114765A1 (en) 2022-04-14

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