JP7355525B2 - Radiation inspection equipment - Google Patents

Description

An embodiment of the present invention is to automatically set parameter values necessary for adjusting the image quality of an image taken by a radiation examination device (referred to as a radiation image in this specification and claims) in accordance with the configuration of the device. The present invention relates to a radiological examination device that can perform

When photographing an object with a radiation inspection device, in order to obtain a clear image with less noise, the imaging conditions must be devised so that the temporal and spatial density of the radiation that passes through the object increases. However, the intensity of radiation emitted from a radiation source has a certain limit due to exposure and other reasons, and when the density of radiation particles or photons decreases, granular noise may become noticeable.

Conventionally, as a countermeasure against such noise, a method of performing image processing on a radiographic image taken using various filters to reduce noise or emphasize contours has been generally used. Gaussian filters, bilateral filters, and the like are used as filters that perform this type of processing. When using these filters, for example, a bilateral filter requires a kernel size K, a filter value S, and a brightness difference W as parameters. When applying multiple filters, prepare multiple same parameters for each filter.

Japanese Patent Application Publication No. 2012-250043 Japanese Patent Application Publication No. 2010-54356 Japanese Patent Application Publication No. 2012-250043

Generally, noise characteristics can be evaluated using RMS granularity (root mean square) or Wiener spectrum (WS). For example, in the Wiener spectrum, the horizontal axis represents the spatial frequency and the vertical axis represents the Wiener spectrum. A large value of the Wiener spectrum means a high noise level (poor granularity = a lot of noise). ing. In order to reduce noise, an appropriate noise removal level is required. Spatial frequency is related to noise size, and higher spatial frequency means larger noise size. To reproduce sharp edges in an image, components with high spatial frequencies are required, and cutting out components with high spatial frequencies, in other words, large-sized noise, results in an image with blurred outlines.

When removing noise contained in radiological images using a general noise filter, it is necessary to individually set multiple parameter values such as kernel size, filter value, and brightness difference. It is difficult for beginners to understand how this is reflected in radiographic images, and it is difficult to appropriately set multiple parameter values. In particular, noise filters that perform image processing on radiographic images have many parameters, and it is difficult to intuitively understand how a change in parameter value will affect the image just by looking at the parameter values. It is difficult, and there is no established method for determining appropriate parameter values. For example, when performing noise removal on a radiographic image as shown in FIG. 11, if the parameter setting method is incorrect, necessary image edge information will disappear together with noise in the processed image shown in FIG. 12.

Generally, when a tube voltage is applied to the radiation tube of an X-ray generator and electrons collide with the target, the number of X-ray particles generated from the target and the number of X-ray particles There will be variations in the energy possessed by. Similarly, the conversion efficiency of X-ray particles into visible light particles in an X-ray detector, such as a scintillator, also varies depending on the characteristics, thickness, etc. of the scintillator.

FIG. 14 is a diagram showing the relationship between the energy of X-ray particles incident on the scintillator 100 and the irradiation range of visible light particles generated inside the scintillator 100 with respect to the light receiving element. Since the high-energy X-ray particles emit visible light particles after penetrating deep into the scintillator 100 (emission position d1), the light receiving range w1 in the light receiving element 101 is narrow. Since the low-energy X-ray particles emit visible light particles at a relatively shallow position of the scintillator 100 (emission position d2), the light receiving range w2 is wide. Further, the intensity of the emitted visible light particles (called a noise level) is not uniform in the light receiving range, and becomes weaker toward the periphery of the light receiving range.

In this way, when an X-ray particle generates a visible light particle, the reaction position varies stochastically depending on the energy of the X-ray, the thickness of the scintillator, and the material of the scintillator (attenuation coefficient and crystal structure for X-rays and visible light). . Therefore, the noise included in images taken by the radiological examination apparatus also has the above-mentioned characteristics. However, conventional noise filters do not take into account noise characteristics based on the X-ray intensity in the X-ray detector or the conversion characteristics of the scintillator. In other words, since the conventional technology processes the image itself obtained from the X-ray detector, it is difficult to perform appropriate filter processing and requires complicated operations such as setting a large number of parameters. Ta.

Embodiments of the present invention have been proposed to solve the problems of the prior art as described above. The purpose of the embodiments of the present invention is to easily produce radiographic images with reduced noise by taking these into consideration in advance, even if the configuration and arrangement of each part constituting the device or the material of the scintillator are different. The object of the present invention is to provide a radiation inspection device that can be obtained.

A radiation inspection apparatus according to an embodiment of the present invention has the following configuration.
(1) A radiation generator, a support section on which an object to be inspected is placed, and a radiation detector that receives radiation transmitted through the object to be inspected and converts it into visible light.
(2) An input unit that receives as parameters at least one of the positional relationship between each part of the radiation generator and the radiation detector, the tube voltage and/or tube current applied to the radiation generator, and the characteristics of the radiation detector.
(3) A noise removal data storage unit that stores values of the parameters in association with noise removal levels and noise sizes for the unprocessed image.
(4) An unprocessed image storage unit that stores unprocessed images of radiographic images taken.
(5) A noise removal determining unit that determines a noise removal level and noise size corresponding to the parameters received from the input unit based on data stored in the noise removal data storage unit.
(6) An image processing filter that removes noise included in the unprocessed image based on the noise removal level and noise size determined by the noise removal determining unit.
(7) The image processingfiltera processed image storage unit that stores the processed image obtained by the processing;
(8) A display unit that displays an input interface of the input unit and the unprocessed image and/or the processed image.
(9) The input section is, receiving from the user the selection of the optimal processed image from the plurality of processed images displayed on the display unit or the setting of the noise removal level and the noise size from a graph regarding the noise removal level and the noise size;

Ru.
(10) The image processing filter removes noise included in the unprocessed image based on the noise removal level and noise size selected by the user via the input unit.
(11) The display unit displays the processed image from which the noise has been removed based on the noise removal level and noise size selected by the user.

An embodiment of the present invention may have the following configuration.
(1) The input unit includes a range specifying unit that specifies an arbitrary part of the unprocessed image displayed on the display unit, and the image processing filter is configured to include the unprocessed image specified by the range specifying unit. Noise is removed from a portion of the image based on the noise removal level and noise size corresponding to the parameters received from the input section.
(2) The image processing filter uses a noise removal level and noise size determined based on the parameters at the time of photographing the inspection object as a reference value, and a plurality of noise sizes set at regular intervals from the reference value. performing noise removal on the unprocessed image based on a combination of a plurality of noise removal levels;
The display section displays thumbnails of the plurality of processed images from which noise has been removed by the image processing filter in a matrix.
(3) The display section has a noise size on the horizontal axis and a noise removal level on the vertical axis on the coordinate surface, and slide bars are arranged near the horizontal and vertical axes, and the input section operates the slide bar. and enter the noise size and noise reduction level.
(4) The removed noise data storage unit stores the parameter value in association with a noise removal level value and a noise size value having a predetermined width for the unprocessed image.

FIG. 1 is a schematic diagram of a radiation examination apparatus incorporating the radiation examination apparatus of the first embodiment. FIG. 2 is a block diagram showing the configuration of an image processing section in the first embodiment. A conceptual diagram showing noise distribution due to monochromatic X-rays. A conceptual diagram of a band-rejection filter that removes monochromatic X-ray noise. A conceptual diagram showing a distribution in which noise is superimposed on white X-rays. FIG. 2 is a conceptual diagram of a noise removal filter configured by combining a plurality of band removal filters to remove white X-ray noise. The figure which shows an example of the input interface of 1st Embodiment. FIG. 3 is a block diagram showing the configuration of an image processing section in a second embodiment. The figure which shows an example of the input interface in other embodiments of this invention. FIG. 7 is a diagram showing another example of an input interface in another embodiment of the present invention. The figure which shows an example of the image A before processing. The figure which shows an example of the processed image B which was image-processed by the inappropriate parameter setting value. FIG. 3 is a diagram showing an example of a processed image B subjected to image processing according to the embodiment of this application. FIG. 3 is a cross-sectional view showing the relationship between noise level and noise size with respect to the energy of X-ray particles in an X-ray detector.

[1. First embodiment]
In this embodiment, the noise removal level and size are automatically determined according to the configuration and arrangement of each part constituting the device, the material of the scintillator, etc., and the determined noise removal level and size are changed in stages. By displaying thumbnails of processed images that have been processed at slightly different levels and sizes, the user can select the most suitable processed image.
[1-1. overall structure]
As shown in the block diagram of FIG. 1, the radiation detection device incorporating the image quality adjustment device of the first embodiment includes an X-ray tube 1 that is an X-ray generator, and A detector 3 that receives the line beam 2 is placed opposite to the detector 3 with the subject W therebetween. The X-ray beam 2 is a pyramid-shaped beam centered on the X-ray optical axis L. The detector 3 detects the X-ray beam 2 that has passed through the subject W with two-dimensional spatial resolution, and outputs the detected X-ray beam 2 as transmission image data to the image processing section 10 connected to the output side of the detector 3.

The X-ray tube 1 and the detector 3 are supported by a shift mechanism 4 so as to face each other. The subject W is placed on a rotary table 5, which is a support thereof. That is, an XY drive mechanism 6 is provided on the rotary table 5, and the subject W is placed on the XY drive mechanism 6. The subject W is moved in two horizontal directions on the rotary table 5 by an XY drive mechanism 6. The rotary table 5 is rotated about a rotation shaft 8 and raised and lowered by a rotation/elevating mechanism 7 disposed below the rotary table 5. The X-ray tube 1, the detector 3, the shift mechanism 4, the XY drive mechanism 6, and the rotation/elevating mechanism 7 are connected to a control section 9 that includes a display section 11 and an input section 12.

The control unit 9 and the image processing unit 10 are configured as part of a computer including a CPU, a memory, a hard disk, an input unit 12 such as a keyboard and a mouse, and a display unit 11 such as a liquid crystal display. The display unit 11 displays an input interface of the input unit 12, an unprocessed image A generated based on the transmitted image data from the detector 3, and a processed image in which noise removal and contour enhancement have been performed on the unprocessed image A. B is displayed.

The input unit 12 is configured to perform the following processing.
(1) Parameters such as the configuration and arrangement of each part of the radiation inspection device used when photographing the inspection object W or the material of the scintillator, as well as the noise removal level and noise size corresponding to these parameters, are determined for the inspection object W. input into the removed noise data storage section before the photographing time.
(2) Input each parameter of the radiation inspection device used when photographing the object W to be inspected.
(3) The user selects the desired noise removal level and noise size while referring to the plurality of thumbnails displayed on the thumbnail generation section 18.

Regarding (1) and (2) above, the input unit 12 inputs the positional relationship between the X-ray tube 1 and each part of the radiation detector 3, the tube voltage applied to the X-ray tube 1, and/or the information from the user or from a separately prepared file. Alternatively, the tube current and characteristics of the radiation detector 3 are input to the control section 9. For example, based on a command input by the user from the input unit 12 to the control unit 9, the rotary table 5 is moved along the X-ray optical axis L between the X-ray tube 1 and the detector 3 by the shift mechanism 4 together with the subject W. The imaging distance (focus-to-rotation axis distance) FCD is changed. The detector 3 is moved along the X-ray optical axis L by the shift mechanism 4, and the detection distance (focus-detector distance) FDD is changed. This changes the imaging magnification FDD/FCD. Data on the FCD, FDD, FDD/FCD, etc. changed in this way is inputted from the input section 12 to the control section 9 as data on the positional relationship between each part of the X-ray tube 1 and the radiation detector 3.

The selection of the noise removal level and noise size by the user in (3) is performed, for example, as follows. That is, in this embodiment, as shown in FIG. 7, thumbnails of a plurality of processed images B that have been image-processed based on a combination of a plurality of noise sizes and a plurality of noise removal levels set at regular intervals are Display in matrix format. A vertical or horizontal slide bar is provided near the thumbnails displayed in a matrix, and by operating the slide bar toward the desired thumbnail, the user can remove the noise that was used when generating that thumbnail. Select level and noise size.

The tube current and tube voltage applied to the X-ray tube 1 affect the intensity of the X-rays emitted from the X-ray tube 1, so they are adjusted as appropriate depending on the material, wall thickness, etc. of the object to be inspected. . In this case, both the tube voltage and the tube current may be adjusted, or only one of them may be adjusted. The values of the tube current and tube voltage to be adjusted are output from the input section 12 to the control section 9.

[1-2. Configuration of image processing unit 10]
As shown in FIG. 2, the image processing section 10 includes a removed noise data storage section 13, an unprocessed image storage section 15, an image processing filter 16, a processed image storage section 17, and a thumbnail generation section 18 for the processed image B. .

The removed noise data storage unit 13 stores combinations of parameters input from the input unit 12 in association with noise removal levels and noise sizes. For example, the following method is used to store each parameter in association with the noise removal level and noise size.

(a) In the case of actual measurement The dominant noise size can be determined by measuring the MTF using the radiation spectrum and detector in the target radiation inspection device.

(b) Calculation: As shown in FIG. 14, the magnitude of radiation photon noise changes depending on the position in the depth direction where radiation is converted into scintillation light within the scintillator. That is, if the photon is converted at the surface, the photon noise size per photon will be large, and if it is converted near the light receiving surface, the size will be small. In this case, the position at which the radiation photon reacts within the scintillator varies stochastically depending on the energy E of the radiation, the thickness D of the scintillator, and the scintillator material (specifically, the attenuation coefficient and crystal structure). Therefore, when the radiation is monochromatic, by performing a Monte Carlo simulation based on the above, it is possible to obtain, for example, a size distribution as shown in FIG. 3.

For example, the radiation energy E is determined by the radiation tube voltage V, and since the light emitting position d within the scintillator changes, the light receiving range w of the light receiving element changes. The relationship between voltage V, light emitting position d, and light receiving range w varies depending on the structure, material, and thickness of the scintillator.
- Find the relationship between V and w using a table. - Find the light receiving range w from the tube voltage V, such as by calculating from the correlation between V and w, and use this as the noise size. Regarding the noise removal level, the input level at each position in the light receiving range can be known by detecting the input intensity of visible light to the light receiving elements existing in the light receiving range w. In this case, since the radiation energy E changes depending on the tube current instead of the tube voltage V, the noise size can also be determined based on the relationship between the change in the tube current and the light receiving range.

In addition to parameters such as the tube voltage and tube current mentioned above, the noise removal level and noise size in a radiation inspection device are determined by the positional relationship between the X-ray tube 1 such as FCD, FDD, FDD/FCD, and each part of the radiation detector 3. It also varies depending on the related parameters. Furthermore, the material of the scintillator and its conversion characteristics to visible light also affect the noise level and size. In the present embodiment, these values are also selected as parameters, and the effects of fluctuations in these parameters on the noise level and size are associated with each other and stored in the removed noise data storage unit 13 in advance.

On the other hand, when radiation has multiple energy distributions, the size distribution is a superposition of the size distributions for each radiation energy distribution, as shown in FIG. In this case, the size distribution may be acquired as a table, or the energy distribution may be measured or calculated each time the object W to be inspected is photographed. The reason is that noise in the radiation image is strictly caused by the spectrum after passing through the object W to be inspected. However, when performing image processing to remove noise, if the noise removal processing is performed strongly on the transparent part of the object W to be inspected, the image itself of the object to be inspected may be damaged. Determining the noise removal level and size of the radiological examination apparatus in advance has a great effect on removing noise from the margin portion of the inspection object W other than the transparent portion during actual radiographic imaging.

The pre-processing image storage unit 15 stores the photographed radiation image, that is, the visible light image created based on the transmission image data of the detector 3, as the pre-processing image A. The processed image storage unit 17 stores the processed image B obtained as a result of image processing by the image processing filter 16 in association with the noise removal level and noise size received from the determination unit 14. The thumbnail generation unit 18 generates a thumbnail of the processed image B stored in the processed image storage unit 17 and displays it on the display unit 11.

As the image processing filter 16, the following can be used. For example, in the case of monochromatic noise shown in FIG. 3, the noise frequency in the image is calculated according to the noise size, and the target noise component is reduced using a band-removal filter such as the notch filter shown in FIG. 4, for example. On the other hand, in the case of white noise shown in FIG. 5 in which a plurality of noises are superimposed, the noise component is reduced by combining a plurality of band-removal filters, as shown in FIG.

The thumbnail generation unit 18 generates a plurality of thumbnails of the processed image B in the following manner. The display unit 11 displays thumbnails of the plurality of processed images B generated by the thumbnail generation unit 18 in a matrix.
(1) The image processing filter 16 generates the reference unprocessed image A using the noise removal level and noise size determined based on the parameters at the time of photographing the inspection object W as reference values. The thumbnail generation unit 18 sets different noise removal levels and noise sizes at fixed numerical intervals based on the noise removal level and noise size determined by the noise determination unit 14, respectively. In this case, regarding the selected removal noise level and noise size, there is no need to set setting values that are known not to contribute to improvement of radiographic images, or values near the upper or lower limits of the setting values.
(2) For the saved reference pre-processing image A, select one of the parameter values set at fixed numerical intervals for each parameter, and use the image processing filter 16 to image the image based on the selected parameter value. Processing is performed to create a processed image B.
(3) For all the selected removal noise levels and noise sizes, create an image B after repeated processing using different setting values set at regular numerical intervals. The thumbnail generation unit 18 arranges a large number of generated processed images B in a matrix on the display unit 11.

[1-3. Effect of embodiment]
In this embodiment, the photographed radiation image is displayed on the display unit 11 as an unprocessed image A and is also stored in the unprocessed image storage unit 15. When performing noise removal or contour coordination on the unprocessed image A, there are two options to choose from: (1) automatic processing and (2) manual processing.

(1) In the case of automatic processing, before photographing the inspected object W, each parameter of the radiation inspection apparatus, such as tube voltage and positional relationship data of each part of the measurement device, is removed from the input unit 12 and stored in the noise data storage unit 13. input. The removed noise data storage section 13 searches for the noise removal level and noise size corresponding to each input parameter, and outputs the resulting noise level and size to the removed noise determining section 14 . The image processing filter 16 performs image processing on the unprocessed image A using a filter corresponding to the noise removal level and noise size obtained from the removal noise determining unit 14, for example, the filter band filter shown in FIGS. 4 and 6. A processed image B from which noise has been removed is obtained.

(2) In the case of manual processing, the standard processed image B is formed based on the noise removal level and noise size obtained by automatic processing, and multiple images are created based on the noise removal level and noise size that differ by a certain value. After processing, image B is formed. Then, the thumbnail generation section 18 generates thumbnails of these processed images B and displays them in a matrix on the display section 11. The user operates vertical and horizontal slide bars displayed on the display unit 11 using a pointing device to select the processed image that is considered to be optimal.

When the user's selection is transmitted to the noise determining unit 14 via the input unit 12, the image processing filter 16 performs noise removal processing on the unprocessed image A according to the noise removal level and noise size determined by the user, and the final The processed image B obtained is displayed on the display unit 11 and is also stored in the processed image storage unit 17.

If the processed image B displayed on the display unit 11 is satisfactory, the user ends the image processing on the unprocessed image A. On the other hand, if the user is not satisfied with the obtained processed image B, the user operates the slide bar to adjust new noise size and noise removal level values. By repeating such adjustment work, a plurality of processed images B are created and displayed on the display unit 11 and also stored in the processed image storage unit 17. In this case, by displaying the obtained plurality of processed images B side by side on the display unit 11, the user can obtain the optimal processed image B as shown in FIG.

[1-4. Effects of embodiment]
(1) Appropriate noise size and noise removal level can be automatically obtained by simply inputting various parameters from the input section according to the various specifications and usage conditions of the radiographic examination equipment, so the pre-processing image Noise can be removed very easily. Moreover, when a large number of inspection objects are inspected in succession while the arrangement and configuration of each part of the inspection equipment itself remains the same, the noise generated therein is almost uniform. Since it becomes possible to automatically perform the same noise removal process on a large number of unprocessed images, the burden on the user for noise removal work is significantly reduced.
(2) In addition to automatically removing the noise level, by manually inputting the noise size and noise removal level, it is possible to modify or fine-tune the results of automated noise removal. When manually inputting the noise size and noise removal level, by displaying thumbnails of processed images obtained with different values, the user can know the manual adjustment results in advance and obtain the optimal processed image. It is now possible to input the noise size and noise removal table for

(3) As shown in FIG. 4, when multiple image processes are performed on the unprocessed image A using multiple different noise sizes and noise removal levels, and the thumbnails are displayed in a matrix array on the display unit 11. In this case, the optimum processed image B can be selected more quickly. That is, compared to a case where the user changes the noise size and noise removal level one by one while looking at the image processing results to generate processed image B, and compares them to select the optimal processed image B. , the user only has to select a desired thumbnail from among a large number of thumbnails by operating a slide bar, thereby improving the user's skill.

(4) As shown in Fig. 11, the noise generated in a radiological examination device appears in a captured image as a circular image whose density decreases toward the periphery, as expressed by the noise size and intensity level. Is displayed. Therefore, in order to remove noise, it is necessary to extract and remove a circular image with such characteristics from the captured image, but conventional image processing software does not remove such characteristic noise. There is no dedicated means to remove it. In this embodiment, it is possible to effectively and easily remove the unique noise generated in a radiological examination apparatus using two indicators: the noise level and the removal size. In this manner, in this embodiment, since the index for filter removal is set in consideration of the size of X-ray photon noise, only noise can be efficiently removed.

[2. Second embodiment]
In the second embodiment shown in FIG. 4, image processing is performed only on a predetermined range of images of the unprocessed image A. Other configurations of the second embodiment are similar to those of the first embodiment. Components similar to those in the first embodiment are denoted by the same reference numerals, and description thereof will be omitted.

The second embodiment includes a range specifying section 18 that specifies an arbitrary part of the unprocessed image A displayed on the display section 11 based on a user's input from the input section 12 . The range specifying unit 18 can be, for example, a rectangle whose diagonals are two arbitrary points on the unprocessed image A, and the range is specified using a pointing device. As the range specifying section 18, it is also possible to specify the range by a polygon whose vertices are a number of points specified by a pointing device, or by a circle or an ellipse.

The image processing filter 16 performs image processing on a portion of the unprocessed image A specified by the range specifying section 18 based on the noise removal level and noise size received from the noise removal determining section 14 . In this case, the processed image B may be automatically generated based on the level and size determined by the situational noise determining unit 14, or the thumbnails generated by the thumbnail generating unit 18 may be displayed on the display unit 11, and one of the thumbnails may be displayed. Similar to the first embodiment, the user may select a desired processed image. The image processing filter 16 performs image processing within the range specified by the range specifying unit 18 according to the noise removal level and noise size specified by the slide bar, and leaves the other parts unprocessed as the unprocessed image A. It's good as well. Different noise removal levels and noise sizes may be input from slide bars for inside and outside the designated range.

According to the present embodiment, the noise removal level and the The noise size to be removed can be adjusted. As a result, the noise removal level can be set high for parts that are unnecessary for the user, while the appropriate noise removal level can be set for parts where necessary information is missing if the noise reduction level is high, so that the overall appearance can be improved. Furthermore, it is possible to obtain a processed image B that clearly contains necessary information. This embodiment has excellent practicality, for example, by grasping the limit of missing data in an image and correcting the image quality, for example, improving modification while maintaining the imaging of the wiring pattern of the board.

[3. Other embodiments]
The present invention is not limited to the embodiments described above, and in the implementation stage, the components can be modified and embodied without departing from the spirit of the invention. Moreover, various inventions can be formed by appropriately combining the plurality of components disclosed in the above embodiments. For example, some components may be deleted from all the components shown in the embodiments. Furthermore, components of different embodiments may be combined as appropriate. Specifically, the following other embodiments are also included.

(1) In the illustrated embodiment, the thumbnail of the processed image B is displayed so that the user can select the desired processed image B, but the removal noise determining unit 14 makes the decision without displaying the thumbnail. The image processing filter 16 may generate the processed image B only based on the noise removal level and noise size.

(2) Regarding the determination of the level and size of noise to be removed by the noise to be removed determination unit 14, only one value may be determined based on the configuration of the inspection device at the time of imaging, the tube current, etc., but the user may select one value. It is also possible to determine a range of values that are considered appropriate. In that case, as shown in FIG. 9, by displaying the range of appropriate graphs and thumb values on the display unit 11 in a colored manner, the user can select the desired removal noise level and noise size from within the range. can be easily selected.

(3) Instead of generating thumbnails, it is also possible for the user to select the noise removal level and noise size using a graph as shown in FIG. In FIG. 10, the user can set the noise removal level and noise size by picking and moving points on the graph with a pointer. In this case, as described in (2) above, the noise removal level and noise size range suitable for selection are determined by the noise removal determining unit 14, and these are displayed on the graph so that the user can select the appropriate noise removal level and noise size range. You can easily know the selection range.

A... Image before processing B... Image after processing W... Subject 1... X-ray tube 2... X-ray beam 3... Detector 4... Shift mechanism 5... Rotating table 6... XY drive mechanism 7... Rotation/elevating mechanism 8... Rotation Axis 9...Control unit 10...Image processing unit 11...Display unit 12...Input unit 13...Removed noise data storage unit 14...Removed noise determining unit 15...Pre-processing image storage unit 16...Image processing filter 17...Post-processing image storage unit 18... Thumbnail generation section 19... Range specification section

Claims (5)

a radiation generator, a support section on which an object to be inspected is placed, a radiation detector that receives radiation transmitted through the object to be inspected and converts it into visible light;
an input unit that receives at least one of the positional relationship between the radiation generator and each part of the radiation detector, the tube voltage and/or tube current applied to the radiation generator, and the characteristics of the radiation detector as parameters;
a noise removal data storage unit that stores values of the parameters in association with noise removal levels and noise sizes for the unprocessed image;
a pre-processing image storage unit that stores a pre-processing image of the photographed radiation image;
a noise removal determining unit that determines a noise removal level and noise size corresponding to the parameters received from the input unit based on data stored in the noise removal data storage unit;
an image processing filter that removes noise included in the unprocessed image based on the noise removal level and noise size determined by the noise removal determining unit;
a processed image storage unit that stores the processed image obtained by the image processing filter ;
an input interface of the input unit and a display unit that displays the unprocessed image and/or the processed image;
has
The input unit receives a user's request for selecting the optimal processed image from the plurality of processed images displayed on the display unit or selecting the noise removal level and the noise size from a graph regarding the noise removal level and the noise size. Accepts the settings of
The image processing filter removes noise included in the unprocessed image based on the noise removal level and noise size selected by the user via the input unit,
The display unit displays the processed image from which the noise has been removed based on the noise removal level and noise size selected by the user;
A radiation inspection device characterized by: a radiation generator, a support section on which an object to be inspected is placed, a radiation detector that receives radiation transmitted through the object to be inspected and converts it into visible light;
an input unit that receives at least one of the positional relationship between the radiation generator and each part of the radiation detector, the tube voltage and/or tube current applied to the radiation generator, and the characteristics of the radiation detector as parameters;
a noise removal data storage unit that stores values of the parameters in association with noise removal levels and noise sizes for the unprocessed image;
a pre-processing image storage unit that stores a pre-processing image of the photographed radiation image;
a noise removal determining unit that determines a noise removal level and noise size corresponding to the parameters received from the input unit based on data stored in the noise removal data storage unit;
an image processing filter that removes noise included in the unprocessed image based on the noise removal level and noise size determined by the noise removal determining unit;
a processed image storage unit that stores the processed image obtained by the image processing filter ;
an input interface of the input unit and a display unit that displays the unprocessed image and/or the processed image;
has
The image processing filter uses a noise removal level and a noise size determined based on parameters at the time of photographing the inspection object as a reference value, and uses a plurality of noise sizes and a plurality of noises set at regular intervals from the reference value. performing noise removal on the unprocessed image based on a combination of removal levels;
the display unit displays thumbnails of the plurality of processed images from which noise has been removed by the image processing filter in a matrix;
A radiation inspection device characterized by: The input section includes a range specifying section for specifying an arbitrary part of the unprocessed image displayed on the display section, and the image processing filter specifies a part of the unprocessed image specified by the range specifying section. 3. The radiation examination apparatus according to claim 1, wherein noise is removed from the input section based on a noise removal level and noise size corresponding to parameters received from the input section. The display section has a noise size on the horizontal axis and a noise removal level on the vertical axis on the coordinate surface, and slide bars are arranged near the horizontal and vertical axes, and the input section operates the slide bar to adjust the noise level. The radiation examination apparatus according to claim 2, wherein a size and a noise removal level are input. The removed noise data storage unit stores the parameter value in association with a noise removal level value and a noise size value having a predetermined width for the unprocessed image,
The radiation examination apparatus according to any one of claims 1 to 4, wherein the display section displays a range of appropriate values in color.