WO2024038779A1 - Dispositif de traitement d'informations, procédé de traitement d'informations et programme de traitement d'informations - Google Patents

Dispositif de traitement d'informations, procédé de traitement d'informations et programme de traitement d'informations Download PDF

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Publication number
WO2024038779A1
WO2024038779A1 PCT/JP2023/028617 JP2023028617W WO2024038779A1 WO 2024038779 A1 WO2024038779 A1 WO 2024038779A1 JP 2023028617 W JP2023028617 W JP 2023028617W WO 2024038779 A1 WO2024038779 A1 WO 2024038779A1
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WO
WIPO (PCT)
Prior art keywords
coloring member
characteristic data
coloring
information processing
amount
Prior art date
Application number
PCT/JP2023/028617
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English (en)
Japanese (ja)
Inventor
善朗 山崎
Original Assignee
富士フイルム株式会社
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
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Publication of WO2024038779A1 publication Critical patent/WO2024038779A1/fr

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J1/00—Photometry, e.g. photographic exposure meter
    • G01J1/48—Photometry, e.g. photographic exposure meter using chemical effects
    • G01J1/50—Photometry, e.g. photographic exposure meter using chemical effects using change in colour of an indicator, e.g. actinometer
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L1/00—Measuring force or stress, in general
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

Definitions

  • the present disclosure relates to an information processing device, an information processing method, and an information processing program.
  • a coloring member that develops a color depending on the amount of energy when energy (for example, pressure, heat, ultraviolet rays, etc.) is applied.
  • a coloring member there is, for example, Prescale (registered trademark) (manufactured by Fuji Film Co., Ltd.), which can obtain a coloring density depending on the applied pressure.
  • Prescale is a sheet-like support coated with a coloring agent containing microcapsules containing a colorless dye and a color developer. When pressure is applied to the prescale, the microcapsules are destroyed and the colorless dye is adsorbed to the developer, producing color.
  • the coloring agent contains multiple types of microcapsules having different sizes and strengths, the amount of microcapsules destroyed varies depending on the applied pressure, and the coloring density also varies. Therefore, by observing the color density, the pressure value, pressure distribution, etc. applied to the prescale can be measured.
  • a pressure measurement sheet for example, prescale
  • the density, size, etc. of the photographed image are determined based on the calibration sheet included in the photographed image. It is disclosed that distortion and shape are corrected and density values of a pressure measurement sheet included in the corrected image are converted into pressure values.
  • the present disclosure provides an information processing device, an information processing method, and an information processing program that support appropriate measurement.
  • a first aspect of the present disclosure is an information processing device that includes at least one processor, and the processor captures a coloring member image obtained by photographing a coloring member that develops color with a density distribution according to the amount of applied energy.
  • the manufacturing information of the color-forming member included in the color-forming member image is acquired, and the relationship between the amount of energy applied to the color-forming member and the concentration of the color-forming member included in the color-forming member image is predetermined characteristic data.
  • first characteristic data corresponding to the manufacturing information is acquired, and the amount of energy applied to the coloring member is derived using the first characteristic data based on the coloring member image.
  • a second aspect of the present disclosure is that in the first aspect, the processor acquires first characteristic data corresponding to manufacturing information from a storage unit in which a plurality of first characteristic data for each manufacturing information is stored in advance. good.
  • the processor acquires correction information according to the manufacturing information, and determines the relationship between the amount of energy applied to the coloring member and the density of the coloring member included in the coloring member image.
  • the first characteristic data may be acquired by acquiring second characteristic data in which the second characteristic data is predetermined and correcting the second characteristic data based on the correction information.
  • the manufacturing information includes lot information indicating a manufacturing lot of the coloring member and the type of coloring material used in manufacturing the coloring member.
  • the information may include at least one of the color material information shown.
  • a fifth aspect of the present disclosure is an information processing method, which acquires a color-forming member image obtained by photographing a color-forming member that develops color with a density distribution according to the amount of applied energy, and acquires a color-forming member image that is obtained by photographing a color-forming member that develops color with a density distribution according to the amount of applied energy.
  • the manufacturing information of the member is acquired, and the relationship between the amount of energy applied to the coloring member and the density of the coloring member included in the coloring member image is predetermined characteristic data, which is first characteristic data corresponding to the manufacturing information. , and uses the first characteristic data to derive the amount of energy applied to the coloring member based on the coloring member image.
  • a sixth aspect of the present disclosure is an information processing program that acquires a color-forming member image obtained by photographing a color-forming member that develops color with a density distribution according to the amount of applied energy, and acquires a color-forming member image that is obtained by photographing a color-forming member that develops color with a density distribution according to the amount of applied energy, and The manufacturing information of the member is obtained, and the relationship between the amount of energy applied to the coloring member and the density of the coloring member included in the coloring member image is predetermined characteristic data, which is first characteristic data corresponding to the manufacturing information.
  • This is for causing a computer to execute a process of obtaining the first characteristic data and deriving the amount of energy applied to the coloring member based on the coloring member image using the first characteristic data.
  • the information processing device, information processing method, and information processing program of the present disclosure support appropriate measurement.
  • FIG. 1 is a diagram illustrating an example of a schematic configuration of an information processing system.
  • FIG. 2 is a block diagram showing an example of a hardware configuration of an information processing device.
  • FIG. 3 is a diagram showing an example of characteristic data.
  • FIG. 2 is a block diagram illustrating an example of a functional configuration of an information processing device. This is an example of a table in which characteristic data for each manufacturing information is defined.
  • FIG. 3 is a diagram showing an example of a screen displayed on a display. 3 is a flowchart illustrating an example of information processing.
  • FIG. 1 is a diagram showing a schematic configuration of an information processing system 1.
  • the information processing system 1 includes an information processing device 10, a server 4, and a database 6.
  • the information processing device 10 and the server 4 are connected to each other via a wired or wireless network so that they can communicate with each other.
  • the information processing system 1 is a system for measuring the amount of energy using a coloring member 90 that, when energy (for example, pressure, heat, ultraviolet rays, etc.) is applied, develops a color with a concentration distribution according to the amount of applied energy. be.
  • the information processing device 10 acquires a coloring member image 50 obtained by photographing a coloring member 90 in a state where energy has been applied and coloring has been applied, and from the coloring member image 50 Derive the quantity.
  • Prescale registered trademark (manufactured by Fujifilm Corporation), which can obtain a coloring density depending on the applied pressure
  • Prescale is a sheet-like support coated with a coloring agent containing microcapsules containing a colorless dye and a color developer.
  • the coloring agent contains multiple types of microcapsules having different sizes and strengths, the amount of microcapsules destroyed varies depending on the applied pressure, and the coloring density also varies. Therefore, by observing the color density, the magnitude and pressure distribution of the pressure applied to the prescale can be measured.
  • Thermoscale (trade name) (manufactured by Fujifilm Corporation) which develops color according to the amount of heat
  • UV Scale trade name (manufactured by Fujifilm Corporation) which develops color according to the amount of ultraviolet light
  • the server 4 is a general-purpose computer in which a software program that provides the functions of a database management system (DBMS) is installed.
  • the server 4 acquires the coloring member image 50 and the amount of energy derived from the coloring member image 50 from the information processing device 10 and stores them in the database 6.
  • the connection form between the server 4 and the database 6 is not particularly limited; for example, they may be connected via a data bus, or may be connected via a network such as NAS (Network Attached Storage) or SAN (Storage Area Network). It may also be in the form of
  • the information processing device 10 derives the energy amount in consideration of manufacturing variations in the coloring member 90.
  • the information processing device 10 will be described in detail below.
  • the information processing device 10 includes a CPU (Central Processing Unit) 21, a nonvolatile storage section 22, and a memory 23 as a temporary storage area.
  • the information processing device 10 also includes a display 24 such as a liquid crystal display, an input section 25, a network I/F (Interface) 26, and a camera 40.
  • the CPU 21, the storage unit 22, the memory 23, the display 24, the input unit 25, the network I/F 26, and the camera 40 are connected to each other via a bus 28 such as a system bus and a control bus so that they can exchange various information with each other. .
  • a bus 28 such as a system bus and a control bus
  • the storage unit 22 is realized by, for example, a storage medium such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory.
  • the storage unit 22 stores an information processing program 27 in the information processing device 10 and a plurality of characteristic data 18 .
  • the CPU 21 reads out the information processing program 27 from the storage unit 22, loads it into the memory 23, and executes the loaded information processing program 27.
  • the CPU 21 is an example of a processor according to the present disclosure.
  • FIG. 3 shows two pieces of characteristic data 18A and 18B as an example of the plurality of characteristic data 18.
  • the characteristic data 18 is data in which the relationship between the amount of energy applied to the coloring member 90 and the density of the coloring member 90 included in the coloring member image 50 is predetermined. This data corresponds to manufacturing information (details will be described later) of the member 90. That is, the storage unit 22 stores in advance a plurality of characteristic data 18 for each manufacturing information.
  • the characteristic data 18 is an example of the first characteristic data of the present disclosure.
  • each of the plurality of characteristic data 18 has its own characteristic.
  • the amount of energy a physical amount corresponding to the energy that can be measured using the coloring member 90, such as a pressure value, an amount of heat, and an amount of ultraviolet rays, can be applied as appropriate.
  • the characteristic data 18A of FIG. 3 shows that the energy amount and the concentration value are proportional, as shown in the characteristic data 18B, the relationship between the pressure value and the concentration value is not necessarily limited to a proportional relationship.
  • the input unit 25 is for receiving user operations, and is, for example, a touch panel, buttons, keyboard, mouse, etc.
  • the network I/F 26 performs wired or wireless communication with the server 4 and other external devices (not shown).
  • the camera 40 has a plurality of sensors having different spectral sensitivities, and under the control of the CPU 21, the sensor photographs a subject (coloring member 90) and outputs an image signal of the photographed image.
  • the information processing device 10 for example, a smartphone with a camera function, a tablet terminal, a wearable terminal, a personal computer, etc. can be used as appropriate.
  • the information processing device 10 includes an acquisition section 30, a derivation section 32, and a control section 34.
  • the CPU 21 executes the information processing program 27, the CPU 21 functions as each functional unit of the acquisition unit 30, the derivation unit 32, and the control unit 34.
  • the acquisition unit 30 acquires a coloring member image 50 obtained by photographing the coloring member 90 with the camera 40. Note that, when the coloring member image 50 includes an area other than the coloring member 90 (for example, a background area), the acquisition unit 30 may extract the area of the coloring member 90.
  • the acquisition unit 30 acquires manufacturing information of the coloring member 90 included in the acquired coloring member image 50.
  • the manufacturing information includes, for example, at least one of lot information indicating the manufacturing lot of the coloring member 90 and coloring material information indicating the type of coloring material used in manufacturing the coloring member 90.
  • the manufacturing information may be acquired by the manufacturer of the coloring member 90 attaching an identifier such as a bar code or two-dimensional code indicating manufacturing information to the coloring member 90, and the information processing device 10 reading the identifier. good.
  • the user may input manufacturing information via the input unit 25.
  • the acquisition unit 30 acquires characteristic data 18 from the storage unit 22 according to the acquired manufacturing information.
  • FIG. 5 shows an example of a table T in which characteristic data 18 for each manufacturing information is predetermined.
  • the acquisition unit 30 refers to the table T and acquires the characteristic data 18 according to the acquired manufacturing information.
  • the table T may be stored in the storage unit 22 in advance.
  • the correspondence between the manufacturing information and the characteristic data 18 is not particularly limited. For example, No. 5 in FIG. 1 and no. As shown in FIG. 2, if the lot information is different ("L01" and "L02"), even if the color material information is the same (“C01"), different characteristic data 18A and 18B may correspond. For example, No. 5 in FIG. 3 and no. As shown in FIG. 4, even if the lot information is different ("L03" and "L04"), if the color material information is the same (“C02”), the same characteristic data 18C may correspond.
  • the derivation unit 32 uses the characteristic data 18 corresponding to the manufacturing information acquired by the acquisition unit 30 to derive the amount of energy applied to the coloring member 90 based on the coloring member image 50 acquired by the acquisition unit 30. . Specifically, the derivation unit 32 converts the density value into an energy amount using the characteristic data 18 for each pixel of the coloring member image 50.
  • the derivation unit 32 may derive various indicators related to the amount of energy applied to the coloring member 90.
  • Various indicators include, for example, the energy distribution obtained by deriving the amount of energy for each pixel in the colored region of the coloring member 90 (hereinafter referred to as the "coloring region"), and the maximum and minimum values of the energy amount in the coloring region. These are representative values such as values, average values, and median values.
  • the area of the coloring region the proportion of the area of the coloring region whose energy amount is within a predetermined range, the uniformity of the energy amount of the coloring region, and the load of the coloring region (area of the coloring region and energy product of the average values of quantities), etc.
  • Another example is the degree of agreement or deviation from the standard when a standard is predetermined regarding the degree of coloring (ie, energy amount and energy distribution) of the coloring member 90.
  • the control unit 34 controls the display 24 to display the coloring member image 50, the amount of energy derived by the derivation unit 32, and various indicators regarding the amount of energy.
  • FIG. 6 shows an example of the screen D displayed on the display 24 by the control unit 34.
  • Screen D displays a coloring member image 50 and various indicators related to the amount of energy derived from the coloring member image 50.
  • the "pressure area” on screen D means the area of the coloring region.
  • Average pressure means the average value of the amount of energy in the coloring region.
  • “Load” means the product of pressurized area and average pressure.
  • Uniformity of pressure values means uniformity of pressure values in the coloring region.
  • control unit 34 transmits the coloring member image 50, the amount of energy derived from the coloring member image 50, and at least one of various indicators related to the amount of energy to the server 4 via the network I/F 26. You may.
  • the server 4 may store information received from the information processing device 10 (control unit 34) in the database 6.
  • the CPU 21 executes the information processing program 27, thereby executing the information processing shown in FIG.
  • Information processing is executed, for example, when a user issues an instruction to start execution via the input unit 25.
  • step S10 the acquisition unit 30 acquires a coloring member image 50 obtained by photographing the coloring member 90 with the camera 40.
  • the acquisition unit 30 acquires manufacturing information of the coloring member 90 included in the coloring member image 50 acquired in step S10.
  • step S14 the acquisition unit 30 acquires characteristic data 18 from the storage unit 22 according to the manufacturing information acquired in step S12.
  • step S16 the derivation unit 32 calculates the amount of energy applied to the coloring member 90 based on the coloring member image 50 acquired in step S10, using the characteristic data 18 according to the manufacturing information acquired in step S14. Derive.
  • step S18 the control unit 34 controls the display 24 to display the coloring member image 50 acquired in step S10, the energy amount derived in step S16, and various indicators related to the energy amount, and performs this information processing. finish.
  • the information processing device 10 includes at least one processor, and the processor photographs the coloring member 90 that develops color with a density distribution according to the amount of applied energy.
  • the coloring member image 50 that is included in the coloring member image 50 is acquired, the manufacturing information of the coloring member 90 included in the coloring member image 50 is obtained, and the amount of energy applied to the coloring member 90 and the density of the coloring member 90 included in the coloring member image 50 are calculated.
  • the information processing device 10 derives the energy amount using the characteristic data 18 according to manufacturing information, even if individual differences in coloring density occur in the coloring member 90 due to manufacturing variations, an appropriate amount of energy can be derived. Can support measurement.
  • reference characteristic data 18 is stored in advance in the storage unit 22, and the reference characteristic data is corrected according to manufacturing information.
  • the characteristic data 18 may be generated each time.
  • the reference characteristic data is an example of the second characteristic data of the present disclosure.
  • the acquisition unit 30 acquires correction information according to manufacturing information.
  • the acquisition unit 30 also acquires reference characteristic data from the storage unit 22. Further, the acquisition unit 30 acquires (generates) characteristic data 18 according to the manufacturing information by correcting the reference characteristic data based on the acquired correction information.
  • the correction information is, for example, a correction coefficient for the reference characteristic data.
  • the correction information may be acquired by the manufacturer of the coloring member 90 attaching an identifier such as a bar code or two-dimensional code indicating the correction information to the coloring member 90, and the information processing device 10 reading the identifier. good.
  • an external device such as the server 4 may manage correction information for each manufacturing information, and the acquisition unit 30 may acquire correction information corresponding to the manufacturing information from the external device. Further, for example, the user may input correction information via the input unit 25.
  • the storage location of the characteristic data 18 is not limited to the storage unit 22.
  • an external device such as the server 4 may manage a plurality of characteristic data 18 for each manufacturing information, and the acquisition unit 30 may acquire characteristic data 18 corresponding to the manufacturing information from the external device.
  • the manufacturing information may include information (for example, a URL (Uniform Resource Locator)) indicating a storage location of the characteristic data 18 in the external device.
  • a plurality of characteristic data 18 for each manufacturing information can be stored in a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), or a USB (Universal Serial Bus) memory.
  • the acquisition unit 30 may acquire the characteristic data 18 corresponding to the manufacturing information from the recording medium.
  • the manufacturer of the coloring member 90 attaches to the coloring member 90 an identifier such as a barcode or two-dimensional code indicating the characteristic data 18 according to manufacturing information, and the information processing device 10 reads the identifier.
  • the characteristic data 18 may be acquired in accordance with manufacturing information.
  • the manufacturer of the coloring member 90 attaches to the coloring member 90 a sheet of paper on which characteristic data 18 corresponding to the manufacturing information are printed, and the information processing device 10 reads the sheet of paper to obtain the characteristic data corresponding to the manufacturing information. 18 may be obtained.
  • the information processing device 10 is provided with the camera 40, but the present invention is not limited to this.
  • the coloring member 90 may be photographed using an external photographing device such as a digital camera or a scanner, and the information processing apparatus 10 may acquire the photographed image.
  • the information processing device 10 does not need to include the camera 40.
  • the hardware structure of a processing unit that executes various processes includes the following various processors.
  • processors can be used.
  • the various types of processors mentioned above include the CPU, which is a general-purpose processor that executes software (programs) and functions as various processing units, as well as circuits such as FPGA (Field Programmable Gate Array) after manufacturing.
  • a programmable logic device (PLD) which is a processor whose configuration can be changed, and a dedicated electrical device, which is a processor with a circuit configuration specifically designed to execute a specific process, such as an ASIC (Application Specific Integrated Circuit). Includes circuits, etc.
  • One processing unit may be composed of one of these various processors, or a combination of two or more processors of the same type or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). combination). Further, the plurality of processing units may be configured with one processor.
  • one processor is configured with a combination of one or more CPUs and software, as typified by computers such as a client and a server.
  • a processor functions as multiple processing units.
  • processors that use a single IC (Integrated Circuit) chip, such as System on Chip (SoC), which implements the functions of an entire system that includes multiple processing units. be.
  • SoC System on Chip
  • various processing units are configured using one or more of the various processors described above as a hardware structure.
  • circuitry that is a combination of circuit elements such as semiconductor elements can be used.
  • the information processing program 27 is stored (installed) in the storage unit 22 in advance, but the present invention is not limited to this.
  • the information processing program 27 is provided in a form recorded on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), a DVD-ROM (Digital Versatile Disc Read Only Memory), and a USB (Universal Serial Bus) memory. Good too. Further, the information processing program 27 may be downloaded from an external device via a network.
  • the technology of the present disclosure extends not only to the information processing program but also to a storage medium that non-temporarily stores the information processing program.
  • the technology of the present disclosure can also be combined as appropriate with the above exemplary embodiments and examples.
  • the descriptions and illustrations described above are detailed explanations of portions related to the technology of the present disclosure, and are merely examples of the technology of the present disclosure.
  • the above description regarding the configuration, function, operation, and effect is an example of the configuration, function, operation, and effect of the part related to the technology of the present disclosure. Therefore, unnecessary parts may be deleted, new elements may be added, or replacements may be made to the written and illustrated contents described above without departing from the gist of the technology of the present disclosure. Needless to say.

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Image Processing (AREA)

Abstract

Le présent dispositif de traitement d'informations est pourvu d'au moins un processeur, et le processeur : acquiert une image d'élément de développement de couleur obtenue par l'imagerie d'un élément de développement de couleur qui développe une couleur avec une distribution de densité correspondant à une quantité d'énergie appliquée ; acquiert des informations de fabrication relatives à l'élément de développement de couleur incluses dans l'image d'élément de développement de couleur ; acquiert des premières données caractéristiques qui correspondent aux informations de fabrication et dans lesquelles une relation entre la quantité d'énergie appliquée à l'élément de développement de couleur et la densité de l'élément de développement de couleur incluse dans l'image d'élément de développement de couleur est prédéfinie ; et utilise les premières données caractéristiques pour dériver la quantité d'énergie appliquée à l'élément de développement de couleur en fonction de l'image d'élément de développement de couleur.
PCT/JP2023/028617 2022-08-15 2023-08-04 Dispositif de traitement d'informations, procédé de traitement d'informations et programme de traitement d'informations WO2024038779A1 (fr)

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Citations (7)

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Publication number Priority date Publication date Assignee Title
JPH0566498A (ja) * 1991-09-05 1993-03-19 Konica Corp 写真焼付露光量制御方法
JP2008232665A (ja) * 2007-03-16 2008-10-02 Fujifilm Corp 圧力解析システム
US20150211987A1 (en) * 2012-08-08 2015-07-30 Scanadu Incorporated Method and apparatus for performing and quantifying color changes induced by specific concentrations of biological analytes in an automatically calibrated environment
WO2017046829A1 (fr) * 2015-09-17 2017-03-23 株式会社Ｅｌａｎ Dispositif de mesure de couleur et procédé de mesure de couleur
JP2019138831A (ja) * 2018-02-14 2019-08-22 マクセルホールディングス株式会社 色指標値取得システムおよび色指標値取得方法
WO2019188316A1 (fr) * 2018-03-30 2019-10-03 キヤノン株式会社 Dispositif de traitement d'image, procédé de traitement d'image, et programme
WO2021235364A1 (fr) * 2020-05-22 2021-11-25 富士フイルム株式会社 Dispositif, procédé et programme d'analyse de pression de surface

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Publication number Priority date Publication date Assignee Title
JPH0566498A (ja) * 1991-09-05 1993-03-19 Konica Corp 写真焼付露光量制御方法
JP2008232665A (ja) * 2007-03-16 2008-10-02 Fujifilm Corp 圧力解析システム
US20150211987A1 (en) * 2012-08-08 2015-07-30 Scanadu Incorporated Method and apparatus for performing and quantifying color changes induced by specific concentrations of biological analytes in an automatically calibrated environment
WO2017046829A1 (fr) * 2015-09-17 2017-03-23 株式会社Ｅｌａｎ Dispositif de mesure de couleur et procédé de mesure de couleur
JP2019138831A (ja) * 2018-02-14 2019-08-22 マクセルホールディングス株式会社 色指標値取得システムおよび色指標値取得方法
WO2019188316A1 (fr) * 2018-03-30 2019-10-03 キヤノン株式会社 Dispositif de traitement d'image, procédé de traitement d'image, et programme
WO2021235364A1 (fr) * 2020-05-22 2021-11-25 富士フイルム株式会社 Dispositif, procédé et programme d'analyse de pression de surface

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Title
ANONYMOUS: "Pressure Image Analysis System FPD-8010J", FUJIFILM CORPORATION HOMEPAGE, 28 May 2022 (2022-05-28), XP093139494, Retrieved from the Internet <URL:https://www.fujifilm.com/jp/ja/business/inspection/measurement-film/fpd8010j> [retrieved on 20240311] *

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