Cutout region output device, cutout region output system, cutout region output method, and program

Abstract

Provided is an information processing device that suitably assists cutting out of a test sample from a test object. This cutout region output device (information processing device 20) comprises: an acquisition unit (control unit 21) that acquires a Talbot image obtained by capturing a test object; a setting unit (control unit 21) that sets a cutout shape of a test sample cut out from the test object; an extraction unit (control unit 21) that extracts a region of the cutout shape satisfying a predetermined condition on the basis of the Talbot image; and an output unit (control unit 21) that outputs the region extracted by the extraction unit.

Description

Cut-out Area Output Device, Cut-out Area Output System, Cut-out Area Output Method, and Program

[0001] The present disclosure relates to a cut-out area output device, a cut-out area output system, a cut-out area output method, and a program.

[0002] Conventionally, in material development, tensile strength tests, bending tests, etc. have been conducted using test samples such as dumbbell test pieces and flat plates cut out from a test object. The area for cutting out the test sample from the test object is determined based on past experience.

[0003] Patent Document 1 describes obtaining material properties using an analysis model that has learned a Talbot image obtained by photographing a test object using the Talbot effect and material properties such as the tensile strength of the test object. The Talbot effect refers to a phenomenon in which when coherent light passes through a first grating provided with slits at a certain period, the grating image is connected in the light propagation direction at a certain period. This grating image is called a self-image. A Talbot interferometer arranges a second grating at the position where the self-image is formed and measures the moiré fringes generated by slightly shifting this second grating. Since the moiré is disturbed when an object is placed in front of the second grating, in Talbot photography, the subject is placed in front of or behind the first grating and irradiated with X-rays, and a display image (Talbot image) of the subject can be obtained by calculating the obtained moiré fringe image.

[0004] Japanese Patent Application Laid-Open No. 2021-089195

[0005] By the way, there is a desire to determine the cut-out area of the test sample from the test object, which has been based on past experience, on the basis of data. However, Patent Document 1 does not describe from which position of the test object the test sample should be cut out in order to evaluate the material properties of the test object.

[0006] Therefore, an object of the present disclosure is to suitably support cutting out a test sample from a test object.

[0007] To solve the above problems, the cropping region output device of this disclosure comprises: an acquisition unit that acquires a Talbot image of a test object; a setting unit that sets the cropping shape of a test sample to be cropped from the test object; an extraction unit that extracts a region of the cropping shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

[0008] Furthermore, the cropping region output system of this disclosure comprises: an acquisition unit that acquires a Talbot image of a test object; a setting unit that sets the cropping shape of a test sample to be cropped from the test object; an extraction unit that extracts a region of the cropping shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

[0009] Furthermore, the method for outputting a cut-out region according to this disclosure includes: an acquisition step in which an information processing device acquires a Talbot image of a test object; a setting step in which it sets the cut-out shape of a test sample to be cut out from the test object; an extraction step in which it extracts a region of the cut-out shape that satisfies predetermined conditions based on the Talbot image; and an output step in which it outputs the region extracted by the extraction step.

[0010] Furthermore, the program of this disclosure causes the computer of the information processing device to function as: an acquisition unit that acquires a Talbot image of the object to be tested; a setting unit that sets the cutout shape of the test sample to be cut out from the object to be tested; an extraction unit that extracts a region of the cutout shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

[0011] According to this disclosure, it is possible to suitably assist in cutting out test samples from the test object.

[0012] This is a schematic diagram showing the overall structure of the analysis system. This is a block diagram showing the general configuration of the information processing device. This is an illustrative diagram of the feature distribution. This is an illustrative diagram of the extracted region output. This is a flowchart showing the extracted region output process.

[0013] Embodiments of the present disclosure will be described below with reference to the drawings. However, the embodiments described below are subject to various technically preferred limitations for carrying out the present disclosure, but the technical scope of the present disclosure is not limited to the embodiments and illustrated examples below.

[0014] The following describes an information processing device 20 (cut-out region output device) that outputs a region (cut-out region) from which a test sample is cut out from the subject 100, which is the object of the test, using a Talbot image obtained by photographing the subject 100 with an X-ray Talbot imaging device 10.

[0015] <Subject> In this embodiment, the subject 100 specifically refers to fiber-reinforced plastics in general, resins in general, resins with fillers added in general, foamed materials such as sponges, cast materials such as aluminum die-casts, and so on. More specifically, known materials include FRP (Fiber-Reinforced Plastics), such as CFRP (Carbon Fiber-Reinforced Plastics), CFRTP (Carbon Fiber-Reinforced Thermo Plastics), and GFRP (Glass Fiber-Reinforced Plastics), which use carbon fibers or glass fibers as reinforcing fibers, as well as CMC (Ceramic Matrix Composites), which uses ceramic fibers as a reinforcing material. In a broader sense, it may also include composite materials made from multiple types of wood, such as plywood. In addition, composite materials that do not contain fibers, such as MMC (Metal Matrix Composites) concrete and reinforced concrete, may also be included. The resins used in the materials are, for example, general-purpose plastics, engineering plastics, and super engineering plastics, but are not limited to these. The resins are used as resin composite materials to which fillers with micro-sized or nano-sized structures are added to impart predetermined properties (such as strength), and are often used as plastic molded products. Fillers include organic materials, inorganic materials, magnetic materials, and metallic materials. For example, when strength and rigidity are required for plastic molded products, composite materials such as PPS (polyphenylene sulfide), POM (polyacetal, polyoxymethylene), PA (polyamide), PC (polycarbonate), and PP (polypropylene) are sometimes used as resins, and aramid fibers, talc, and cellulose fibers are sometimes used as fillers.Furthermore, when the plastic molded product is a plastic magnet, composite materials such as nylon as the resin and strontium ferrite and samarium cobalt as fillers may be used.

[0016] <Analysis System> The analysis system 1 (extraction region output system) shown in Figure 1 comprises an X-ray Talbot imaging apparatus 10, a controller 19, and an information processing apparatus 20. The X-ray Talbot imaging apparatus 10 is connected to the information processing apparatus 20 via the controller 19 and a communication network N. The communication network N is a LAN (Local Area Network), WAN (Wide Area Network), the Internet, etc.

[0017] <X-ray Talbot Imaging Apparatus> In this embodiment, the X-ray Talbot imaging apparatus 10 employs a Talbot-Raw interferometer equipped with a source grating 12. However, it is also possible to employ an X-ray Talbot imaging apparatus that does not have a source grating 12, but only has a first grating 14 and a second grating 15.

[0018] Figure 1 is a schematic diagram showing the overall structure of the X-ray Talbot radiography apparatus 10. The X-ray Talbot radiography apparatus 10 according to this embodiment includes an X-ray generator 11, a source grid 12, a subject platform 13, a first grid 14, a second grid 15, an X-ray detector 16, a support column 17, and a base 18. The grid directions of the source grid 12, the first grid 14, and the second grid 15 are the same.

[0019] With such an X-ray Talbot imaging apparatus 10, at least three types of images (two-dimensional images) can be reconstructed (referred to as reconstructed images) by capturing a moiré image Mo of a subject 100 at a predetermined position relative to the subject table 13 using a method based on the principle of fringe scanning, or by analyzing the moiré image Mo using the Fourier transform method. Specifically, these are three types of images: an absorption image (the same as a normal X-ray absorption image) which visualizes the average component of the moiré fringes in the moiré image Mo; a differential phase image which visualizes the phase information of the moiré fringes; and a small-angle scattering image which visualizes the visibility of the moiré fringes. The fringe scanning method is a method of obtaining a high-resolution reconstructed image by reconstructing a moiré image Mo obtained by moving one of the multiple grids in the direction of the slit period by 1 / M of the slit period of the grid (M is a positive integer, M>2 for absorption images, M>3 for differential phase images and small-angle scattering images) and capturing M images in that direction. Furthermore, the Fourier transform method is a technique in which a moiré image (Mo) is captured using an X-ray Talbot radiographer while the subject is present, and then, in image processing, the moiré image (Mo) is subjected to a Fourier transform to reconstruct and generate images such as differential phase images.

[0020] It is also possible to generate even more types of images by recombining the three types of reconstructed images described above. For example, small-angle scattering images taken at multiple (three or more) grid-opposing angles are used, and after aligning each image, a sinusoidal wave is fitted to each pixel, and fitting parameters are extracted. The sinusoidal wave graph has the relative angle α between the object of study and the grid on the horizontal axis and the small-angle scattering signal value of a certain pixel on the vertical axis. The fitting parameters are the amplitude value, mean value, and phase of the sinusoidal wave. The image showing the amplitude value for each pixel is called the orientation degree image, the image showing the mean value for each pixel is called the scattering intensity image, and the image showing the phase for each pixel is called the orientation angle image. Note that the fitting method is not limited to a sinusoidal wave. Hereafter, the image generated by recombining the reconstructed images (orientation degree image, scattering intensity image, orientation angle image) will be combined to form an orientation analysis image.

[0021] Furthermore, it is possible to perform image processing such as filtering, clarification, and contour extraction on reconstructed images and orientation analysis images, as well as image processing that combines two or more types of images. Hereafter, such image-processed images will be referred to as secondary images.

[0022] Hereafter, the term "Talbot imaging" will refer not only to the acquisition of moiré images (Mo), but also to the generation of the reconstructed images, orientation analysis images, and secondary images mentioned above. Furthermore, hereafter, the reconstructed images, orientation analysis images, and secondary images will be collectively referred to as Talbot images.

[0023] The configuration of other parts of the X-ray Talbot imaging apparatus 10 according to this embodiment will now be described. The controller 19 is a device that performs overall control of the X-ray Talbot imaging apparatus 10. That is, for example, the controller 19 is connected to the X-ray generator 11 and can set the tube voltage, tube current, irradiation time, etc. for the X-ray source 11a.

[0024] <About the Information Processing Device> In this embodiment, a general-purpose computer device (control PC) is used as the information processing device 20 that performs various processes. However, it is not limited to this, and some of the functions of the information processing device 20 may be provided on a network, and each process may be executed by exchanging data via communication. As shown in Figure 2, the information processing device 20 includes a control unit 21, an operation unit 22, a communication unit 23, a storage unit 24, and a display unit 25.

[0025] The control unit 21 is composed of a CPU (Central Processing Unit), RAM (Random Access Memory), and the like. The CPU of the control unit 21 reads various programs stored in the memory unit 24, expands them into the RAM, and executes various processes (for example, the partitioned area output process described later) according to the expanded programs, thereby controlling the operation of each part of the information processing device 20.

[0026] The control unit 21 functions as an acquisition unit that acquires Talbot images of the object under test. Specifically, the control unit 21 acquires Talbot images from the X-ray Talbot imaging device 10 via the communication unit 23, which will be described later. Alternatively, the control unit 21 may acquire Talbot images stored in the storage unit 24.

[0027] The control unit 21 functions as a setting unit for setting the shape of the test sample to be cut from the object under test. The cut shape is a shape for various tests such as tensile strength tests and bending tests, and can be, for example, various quadrilaterals such as squares and rectangles, or a dumbbell shape for dumbbell tests. The control unit 21 sets the cut shape based on signals input by the user using the operation unit 22, which will be described later. Alternatively, the control unit 21 may set the shape by acquiring a cut shape that has been stored in the storage unit 24 in advance. In addition to the cut shape, the size and direction of the cut shape may also be set.

[0028] The control unit 21 functions as an acquisition unit that acquires feature quantities from the Talbot image. The feature quantities acquired from the Talbot image include, for example, statistical values ​​such as the mean, standard deviation, maximum, minimum value, coefficient of variation, and percentile value of the pixel values ​​in the Talbot image. The feature quantities acquired from the Talbot image are numerical values ​​determined by the Talbot image type, analysis domain, and calculation method. Talbot image types include absorption images, small-angle scattering images, differential phase images, and orientation analysis images. Furthermore, since small-angle scattering images and differential phase images have lattice angle dependence, there are types that combine these. The analysis domain determines which areas within the image to analyze. Subsequent calculations are performed on the specified image and the two-dimensional signal value array of the specified analysis domain. The calculation method may include statistical values ​​such as the mean, standard deviation, maximum, minimum value, coefficient of variation, and percentile value, or it may involve applying an arbitrary function, such as an image filter, to the two-dimensional array of the target analysis domain before applying the statistical calculation.

[0029] The control unit 21 functions as a prediction unit that predicts material properties from feature quantities using an analysis model. Material properties refer to the material properties of the object 100, and include, for example, tensile strength, elastic modulus, flexural strength, flexural modulus, Charpy strength, warpage, and coefficient of thermal expansion. The control unit 21 predicts material properties using an analysis model, such as a machine learning model, which takes feature quantities as input information and material properties as output information.

[0030] The control unit 21 functions as an extraction unit that extracts regions of cutout shapes (cutout regions) that satisfy predetermined conditions based on the Talbot image. Specifically, first, the control unit 21 comprehensively sets candidate regions of cutout shapes (candidate regions) on the Talbot image. Next, the control unit 21 acquires feature quantities for each candidate region and, if necessary, further predicts material properties from the feature quantities. Then, the control unit 21 extracts candidate regions whose feature quantities and material properties satisfy predetermined conditions as cutout regions. The candidate regions are comprehensively set in a predetermined manner. For example, the control unit 21 sets candidate regions by shifting candidate regions of cutout shapes oriented in a certain direction at predetermined intervals in a direction perpendicular to that direction. Subsequently, the control unit 21 comprehensively sets candidate regions by shifting candidate regions of cutout shapes rotated by a predetermined angle from a certain direction at predetermined intervals in a direction perpendicular to that direction. If the direction of the cutout shape is set, the candidate regions are comprehensively set only in the set direction.

[0031] Here, we will explain the specified conditions. The specified conditions are based on feature quantities. For example, the specified conditions may be that the feature quantity is above a threshold, below a threshold, or within a threshold range. The specified conditions are based on material properties. For example, the specified conditions may be that the material property is above a threshold, below a threshold, or within a threshold range.

[0032] The predetermined conditions are conditions in multiple directions. For example, the predetermined conditions are conditions based on feature quantities and / or material properties of the subject 100, such as in the vertical and horizontal directions.

[0033] The predetermined conditions are based on the distribution of feature quantities. The predetermined conditions are based on the distribution of feature quantities and / or material properties. The distribution is a plot of feature quantities and / or material properties for each candidate region. A specific example of a distribution-based condition is explained using Figure 3. Multiple candidate regions 2001 are set on the Talbot image 2000. Candidate regions 2001 are comprehensively set in the vertical direction, the direction rotated 45° to the left from the vertical direction, the left-right direction, and the direction rotated 45° to the right from the vertical direction in Figure 3. Graph 2002 at the bottom of Figure 3 is a scatter plot with the vertical axis representing the "coefficient of variation of the signal value of the small-angle scattering image parallel to the tensile direction" and the horizontal axis representing the "average value of the signal value of the small-angle scattering image parallel to the tensile direction". In a distribution like that in Figure 3, the predetermined condition is "four distant locations". The control unit 21 can obtain the distance between plots using Euclidean distance, Mahalanobis distance, etc. For example, when extracting four points, the control unit 21 extracts the points by calculating the distance between two of the four points for every possible combination of four points, thus calculating six possible distances, and then selecting the combination where the sum of the distances is maximized, or selecting the combination where the distances between the points are equal. Another selection method is to use the Mahalanobis distance. For example, when selecting four points, one could select one point whose Mahalanobis distance is close to 0, and then select the other three in order from those with the largest Mahalanobis distances. In the above method, three points with similar Euclidean distances may be selected, so for example, one could select the three points with the largest Euclidean distances from the top 20 data points in terms of Mahalanobis distance. Other examples of distribution-based conditions include acquiring data equally from the distribution, acquiring a plot of the average value in the distribution, and prioritizing the acquisition of outliers that deviate from the distribution. Note that Figure 3 is a two-axis scatter plot, but the example is not limited to this. For example, a one-axis scatter plot may also be used.

[0034] The predetermined condition is the number of regions to extract. For example, the predetermined condition may be a fixed value, such as extracting two cutout regions. Alternatively, the predetermined condition may be a variable value, such as the number of cutout regions that do not overlap and whose feature quantities and / or material properties satisfy the predetermined conditions.

[0035] The predetermined conditions are stored in the storage unit 24, which will be described later, based on signals input by the user using the operation unit 22, which will be described later.

[0036] The control unit 21 functions as an output unit that outputs the region (cut-out region) extracted by the extraction unit. Specifically, the control unit 21 causes the display unit 25, which will be described later, to display the cut-out region. For example, the control unit 21 may overlay the cut-out region on an image (such as an optical image or a Talbot image) and display it as shown in Figure 4. Figure 4 is a diagram in which a dumbbell-shaped frame is shown on an optical image 2003, which is an optical image of the subject 100, representing a region 2004 that corresponds to the cut-out region extracted on the Talbot image. For example, the control unit 21 obtains the positional relationship between the optical image and the Talbot image by analyzing the images and displays the region corresponding to the cut-out region on the optical image. Alternatively, for example, the control unit 21 may output the cut-out region as positional information with the position of the subject as the origin. The positional information may be point cloud data representing the contour, or it may be information about a rectangular contour, such as the coordinates of the top left corners, width, height, and the direction in which the rectangular contour is facing. Furthermore, the control unit 21 may output the cutting area as a cutting instruction sheet. A cutting instruction sheet is a document data such as a PDF file sent to the user who cuts out a test sample from the object under test. The cutting area may also be displayed in a CAD (computer-aided design) drawing.

[0037] The operation unit 22 includes a keyboard equipped with cursor keys, number input keys, various function keys, a pointing device such as a mouse, and a touch panel laminated on the surface of the display unit 25. The operation unit 22 is configured to be operable by the operator. The operation unit 22 also outputs various signals to the control unit 21 based on the operations performed by the operator.

[0038] The communication unit 23 is capable of sending and receiving various signals and data with other devices connected via the communication network N.

[0039] The memory unit 24 is composed of non-volatile semiconductor memory or a hard disk, and stores various programs executed by the control unit 21, parameters necessary for program execution, and various data. The memory unit 24 stores the predetermined conditions, analysis models, Talbot images, etc.

[0040] The display unit 25 is composed of a monitor such as an LCD (Liquid Crystal Display) and displays various screens, etc., according to the instructions of the display signals input from the control unit 21.

[0041] <About the Extraction Region Output Processing> The extraction region output processing in the information processing device 20 will be explained using Figure 5. The extraction region output processing is a process that uses the Talbot image obtained by photographing the subject 100 to output the region (extraction region) from which the test sample is extracted from the subject 100, which is the object of the test. The extraction region output processing starts when the control unit 21 receives a signal to start the extraction region output processing input by the user using the operation unit 22. It is assumed that the Talbot image has already been sent from the X-ray Talbot imaging device 10 to the information processing device 20 and stored in the storage unit 24 before the start of the extraction region output processing. It is also assumed that the analysis model has been pre-trained.

[0042] First, the control unit 21 acquires a Talbot image (step S1; acquisition step).

[0043] Next, the control unit 21 sets the cut shape (step S2; setting step). For example, the control unit 21 sets the cut shape to a dumbbell shape.

[0044] Next, the control unit 21 sets candidate regions (step S3). The control unit 21 comprehensively sets the dumbbell-shaped candidate regions set in step S2 on the Talbot image. For example, as shown in FIG. 3 described above, the control unit 21 comprehensively sets candidate regions 2001 on the Talbot image 2000.

[0045] Next, the control unit 21 acquires feature amounts in each candidate region (step S4).

[0046] Next, the control unit 21 predicts the material properties in each candidate region (step S5). Specifically, the control unit 21 predicts the material properties of the analysis region by inputting the feature amounts of the candidate regions in the Talbot image into the analysis model. Note that if the predetermined conditions do not include conditions based on the material properties, step S5 is unnecessary.

[0047] Next, the control unit 21 extracts candidate regions that satisfy the predetermined conditions as cutout regions (step S6; extraction step). For example, as shown in FIG. 3 described above, the control unit 21 extracts the candidate region 2001 surrounded by a thick frame as a cutout region.

[0048] Next, the control unit 21 outputs the cutout region (step S7; output step). The control unit 21 terminates the cutout region output process. For example, the control unit 21 outputs the cutout region to the display unit 25 and causes the display unit 25 to display it. As shown in FIG. 4 described above, in the optical image of the test object, the position corresponding to the cutout region in the Talbot image is displayed with a dumbbell-shaped frame.

[0049] <Other> In step S2 above, the cutout region output process has been described using an example in which one cutout shape is set, but the present invention is not limited to this example. The number of cutout shapes set in step S2 may be plural. When a plurality of cutout shapes are set, steps S3 to S7 are executed for each cutout shape, and a cutout region is output for each cutout shape.

[0050] Furthermore, in step S6 described above, the control unit 21 automatically extracted the extraction region based on predetermined conditions, but this example is not limited to this. Before step S6, the control unit 21 may display a scatter plot on the display unit 25 as shown in Figure 3, and the user may use the operation unit 22 to select data plotted from the scatter plot. In step S6, the control unit 21 may extract the extraction region corresponding to the data selected by the user. In addition to displaying only the scatter plot on the display unit 25, the control unit 21 may also display the positions of candidate regions corresponding to the selected data, for example, by associating them with arrows as shown in the upper part of Figure 3. This makes it easier for the user to select the extraction region.

[0051] The X-ray Talbot imaging apparatus 10 may be configured to enable Talbot CT imaging by providing an imaging jig (not shown) on the subject stand 13 for fixing the subject 100 in a predetermined orientation, and rotating the subject 100 in three dimensions. Above, Talbot imaging, which generates various two-dimensional images using a Talbot interferometer and a Talbot-Raw interferometer, has been described, but here we will describe Talbot CT imaging, which generates various three-dimensional images using a Talbot-Raw interferometer. Talbot CT imaging is an extension of Talbot imaging, which generates various two-dimensional images, to three dimensions. In Talbot CT imaging, the CT rotation axis is rotated by predetermined angles (for example, 1° at a time) to acquire moiré fringe images for 180° or 360°, and processing based on the fringe scanning method or Fourier transform method is performed to generate two-dimensional projection images (absorption images, small-angle scattering images, differential phase images). Next, a 3D CT image (absorption tomography, small-angle scattering tomography, and phase tomography) corresponding to the 2D projection image is generated by calculating the signal value of each voxel using the 2D projection image. In addition, in Talbot CT imaging, a 3D orientation analysis image (degree of orientation tomography, orientation angle tomography, and scattering intensity image) is generated by performing CT reconstruction and image processing using small-angle scattering images taken with the subject orientation in multiple directions relative to the CT rotation axis. In this case, the Talbot image will include the 3D CT image and 3D orientation analysis image in addition to the Talbot image described above. It is also possible to perform image processing such as filtering, clarification, and contour extraction on the 3D CT image and 3D orientation analysis image, as well as image processing that combines two or more types of images.

[0052] <Effects> As described above, the cut-out region output device (information processing device 20) comprises an acquisition unit (control unit 21) that acquires a Talbot image of the object to be tested, a setting unit (control unit 21) that sets the cut-out shape of the test sample to be cut out from the object to be tested, an extraction unit (control unit 21) that extracts a region of the cut-out shape that satisfies predetermined conditions based on the Talbot image, and an output unit (control unit 21) that outputs the region extracted by the extraction unit. This allows for suitable support in cutting out a test sample from the object to be tested.

[0053] Furthermore, the excision region output system (analysis system 1) includes an acquisition unit (control unit 21) that acquires a Talbot image of the object to be tested, a setting unit (control unit 21) that sets the excision shape of the test sample to be excised from the object to be tested, an extraction unit (control unit 21) that extracts a region of the excision shape that satisfies predetermined conditions based on the Talbot image, and an output unit (control unit 21) that outputs the region extracted by the extraction unit. This allows for suitable support in excising a test sample from the object to be tested.

[0054] Furthermore, the cropping region output method (cropping region output processing) includes an acquisition step (step S1) in which the information processing device acquires a Talbot image of the object to be tested; a setting step (step S2) in which the cropping shape of the test sample to be cut out from the object to be tested is set; an extraction step (step S6) in which a region of the cropping shape that satisfies predetermined conditions is extracted based on the Talbot image; and an output step (step S7) in which the region extracted by the extraction unit is output. This allows for suitable support for cropping a test sample from the object to be tested.

[0055] Furthermore, the program causes the computer of the information processing device (information processing device 20) to function as an acquisition unit (control unit 21) that acquires a Talbot image of the object to be tested, a setting unit (control unit 21) that sets the cutout shape of the test sample to be cut out from the object to be tested, an extraction unit (control unit 21) that extracts a region of the cutout shape that satisfies predetermined conditions based on the Talbot image, and an output unit (control unit 21) that outputs the region extracted by the extraction unit. This allows for optimal support in cutting out a test sample from the object to be tested.

[0056] The embodiments of this disclosure have been described above, but the descriptions in these embodiments are merely preferred examples relating to this disclosure and are not limited thereto.

[0057] The above description discloses examples in which hard disks, semiconductor non-volatile memory, etc., are used as computer-readable media for the program relating to this disclosure, but the disclosure is not limited to these examples. Portable recording media such as CD-ROMs can also be used as other computer-readable media.

[0058] Furthermore, the detailed configuration and operation of each device can be modified as appropriate, without departing from the spirit of the invention.

[0059] This disclosure can be used in cut-out region output devices, cut-out region output systems, cut-out region output methods, and programs.

[0060] 1 Analysis system (extraction area output system) 10 X-ray Talbot imaging apparatus 11 X-ray generator 19 Controller 20 Information processing apparatus (extraction area output apparatus) 21 Control unit (acquisition unit, setting unit, extraction unit, output unit, acquisition unit, prediction unit) 22 Operation unit 23 Communication unit 24 Storage unit 25 Display unit 100 Subject (test object)

Claims

1. A cut-out region output device comprising: an acquisition unit that acquires a Talbot image of a test object; a setting unit that sets the cut-out shape of a test sample to be cut out from the test object; an extraction unit that extracts a region of the cut-out shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

2. The cropping region output device according to claim 1, comprising an acquisition unit that acquires feature quantities from the Talbot image, wherein the predetermined conditions are conditions based on the feature quantities.

3. The cropping region output device according to claim 1, comprising: an acquisition unit that acquires feature quantities from the Talbot image; and a prediction unit that predicts material properties from the feature quantities using an analysis model, wherein the predetermined conditions are conditions based on the material properties.

4. The cutout region output device according to claim 1, wherein the predetermined conditions are conditions in multiple directions.

5. The extraction region output device according to claim 1, wherein the predetermined condition is the number of items to be extracted.

6. The cropping region output device according to claim 2, wherein the predetermined conditions are conditions based on the distribution of the feature quantities.

7. The cut-out region output device according to claim 3, wherein the predetermined conditions are conditions based on the distribution of the feature quantities and / or material properties.

8. A cropping region output system comprising: an acquisition unit that acquires a Talbot image of a test object; a setting unit that sets the cropping shape of a test sample to be cut out from the test object; an extraction unit that extracts a region of the cropping shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

9. A method for outputting an extracted region, comprising: an acquisition step of acquiring a Talbot image of an object to be tested; a setting step of setting the cutout shape of a test sample to be cut out from the object to be tested; an extraction step of extracting a region of the cutout shape that satisfies predetermined conditions based on the Talbot image; and an output step of outputting the region extracted by the extraction step.

10. A program that causes the computer of an information processing device to function as: an acquisition unit that acquires a Talbot image of an object to be tested; a setting unit that sets the cutout shape of a test sample to be cut out from the object to be tested; an extraction unit that extracts a region of the cutout shape that satisfies predetermined conditions based on the Talbot image; and an output unit that outputs the region extracted by the extraction unit.

Images