Abstract: In classifying images by machine learning, provided are an image classification method, device, and program for classifying the image from which the feature difference is hardly detected, in particular, classifying the interference fringe image of tear fluid layer by the dry eye types. The method includes a step of acquiring a feature value from an interference fringe image of tear fluid layer for learning, a step of constructing a model for classifying an image from the feature value acquired from the interference fringe image of tear fluid layer for learning, a step of acquiring the feature value from an interference fringe image of tear fluid layer for testing, and a step of performing classification processing for classifying the interference fringe image of tear fluid layer for testing by types of dry eye using the model and the feature value acquired from the interference fringe image of tear fluid layer.

Abstract: A method, a computer program and a device for evaluating a tear fluid layer non-invasively. The method, computer program, and device include a step of detecting a time when color information in a predetermined region in a tear fluid layer interference fringe image changes by a threshold value or more as an eyelid opening time, a step of extracting an image at the time when the predetermined time has passed from the eyelid opening time as an extracted image from the tear fluid interference fringe images, a determination value calculation step of calculating a determination value from the color information in a pixel in a local region by scanning a predetermined target region, a step of detecting a corresponding pixel by comparing the calculated determination value and a threshold value, and an evaluation step of evaluating tear fluid layer breakdown by comparing the detected pixel and a threshold value.

Abstract: The method for estimating the fluid state of a liquid of the present invention includes a step (a) of applying heat to the liquid, a step (b) of acquiring a temperature distribution of the liquid to which the heat is applied, and a step (c) of estimating the fluid state of the liquid based on the acquired temperature distribution. The system for estimating the fluid state of a liquid of the present invention includes a heating means (1) that applies heat to the liquid, a temperature distribution acquisition means (2) that acquires a temperature distribution of the liquid to which the heat is applied, and an estimation means (3) that estimates the fluid state of the liquid based on the acquired temperature distribution. According to such method and system for estimating the fluid state of a liquid, the flow of the liquid can be estimated non-invasively.

Abstract: An example apparatus comprising an image acquisition unit configured to acquire a plurality of images having temporal or spatial continuity; a channel assignment unit configured to assign a channel different from each other to at least a part of gradation information on a color and/or gradation information on brightness that can be acquired from each image of the plurality of images based on a predetermined rule; a composite image generation unit configured to generate one composite image in which gradation information on at least a part of each image can be identified by the channel by extracting and combining gradation information to which the channel is assigned from each of the plurality of images; and an inference unit configured to analyze the composite image and to infer the plurality of images.

Abstract: An ophthalmic image of an evaluation target is acquired, a plurality of subsection images is extracted from the ophthalmic image, a state of a subject's eye is predicted for each of the subsection images based on a learned model in which learning has been performed in advance regarding extracting a plurality of subsection images from an ophthalmic image for learning, and predicting a state of a subject's eye for the each of subsection image by machine learning using correct answer data related to a state of each subsection image, and the subsection image is extracted from the ophthalmic image so as to have an image size corresponding to a state of a subject's eye of an evaluation target.

Abstract: Provided are a method, a computer program and a device for noninvasively evaluating a state of a tear fluid and a tear fluid amount of a tear meniscus. Included are a binarization step of binarizing a tear meniscus image, obtained by capturing at least a part of a tear meniscus of a subject, using a predetermined threshold value; an extraction step of extracting a high luminance region indicating a tear meniscus part from the binarized image; and an evaluation step of evaluating a tear fluid state on the basis of the high luminance region.

Abstract: An object of the present invention is to provide a technique that can improve the measurement accuracy of the blood component concentration. A blood component measurement system emits light to a measurement site of a living body while the measurement site is compressed, and calculates a concentration of a predetermined blood component based on a pulse wave signal acquired based on light received from the measurement site. A blood component measurement system includes a processing unit that performs a process of analyzing the pulse wave signal and determining a pressure condition of the measurement site; and a calculation unit that calculates a concentration of the blood component using the pulse wave signal in a period in which the pressure condition is determined.

Abstract: A method for dynamically evaluating a tear fluid layer using an interference fringe image of the tear fluid layer composed of a plurality of consecutive frames, and includes: an image creation step of creating at least one break detection image of a first break detection image, a second break detection image, a third break detection image, and a fourth break detection image, which are images for detecting a breaking site of the tear fluid layer; a determination step of determining whether the break detection image created by the image creation step corresponds to a predetermined breakup pattern; a tally step of tallying the determination results determined by the determination step; and an evaluation step of evaluating, on the basis of a tallied result by the tally step, a breakup pattern of the interference fringe image of the tear fluid layer.

Abstract: A non-transitory computer-readable medium stores a program capable of improving the accuracy of detection of a target object. The program causes a computer to execute operations including, acquiring data in which a physical quantity is associated with each unit area acquired by dividing a given space; setting a detection region in a time space of three or more dimensions in the space or the time space; setting a control region at a position surrounding a gap with the gap surrounding the detection region disposed in a space having the same dimensions as those of the detection region; and determined whether or not one or more unit areas included in the detection region are predetermined areas on the basis of comparison between physical quantities of one or more unit areas included in the detection region and the control region that are set.

Abstract: Provided are a method and a device for evaluating a tear fluid to objectively evaluate and determine the severity of dry eye or the like. Color information is acquired in a predetermined region of a tear fluid interference fringe image, a numerical value representing a color diversity is calculated from the color information acquired, and the numerical value representing the color diversity thus calculated is used as an index for evaluating a tear fluid state.

Abstract: Provided are an analysis evaluation method and device, and a computer program for the state of a subject surface in a still image. The method includes: a step of acquiring color information of each pixel in a predetermined region in a still image, a step of calculating a numerical value indicating a diversity of color from the acquired color information, a step of calculating an average value of the color information, and a step of calculating a coefficient of variation on the basis of the calculated numerical value indicating the diversity of color and the calculated average value of the color information. Herein, the coefficient of variation is used as an index for evaluating the surface state of an object.

Abstract: A method and device for evaluating the dynamics of a tear fluid layer to objectively and accurately evaluate breakdown of the tear fluid layer, which is a core mechanism of dry eye, are provided. The method includes a step of acquiring color information of each pixel in a predetermined region of a tear fluid layer interference fringe image, which is a moving image or a plurality of static images, a step of calculating a numerical value indicating the diversity of color from the acquired color information, a step of calculating the average value of the color information, and a step of calculating a coefficient of variation on the basis of the calculated numerical value indicating the diversity of color and the calculated average value of the color information. The coefficient of variation is used as an index for evaluating the dynamics of the tear fluid layer.

Abstract: In classifying images by machine learning, provided are an image classification method, device, and program for classifying the image from which the feature difference is hardly detected, in particular, classifying the interference fringe image of tear fluid layer by the dry eye types. The method includes a step of acquiring a feature value from an interference fringe image of tear fluid layer for learning, a step of constructing a model for classifying an image from the feature value acquired from the interference fringe image of tear fluid layer for learning, a step of acquiring the feature value from an interference fringe image of tear fluid layer for testing, and a step of performing classification processing for classifying the interference fringe image of tear fluid layer for testing by types of dry eye using the model and the feature value acquired from the interference fringe image of tear fluid layer.

Abstract: The image processing device (20) according to the present invention includes an alignment means (31) that arranges a pixel of interest and a plurality of adjacent pixels located around the pixel of interest in order of respective magnitudes of luminance values, a determination means (32) that determines whether the pixel of interest is within a predetermined range intermediate in the pixel of interest and the plurality of adjacent pixels sorted by the alignment means (31), and a substitution means (33) that, when the pixel of interest is not within the predetermined range, substitutes the luminance value of the pixel of interest on the basis of the luminance value of a pixel within the predetermined range.

Abstract: A method for dynamically evaluating a tear fluid layer using an interference fringe image of the tear fluid layer composed of a plurality of consecutive frames, and includes: an image creation step of creating at least one break detection image of a first break detection image, a second break detection image, a third break detection image, and a fourth break detection image, which are images for detecting a breaking site of the tear fluid layer; a determination step of determining whether the break detection image created by the image creation step corresponds to a predetermined breakup pattern; a tally step of tallying the determination results determined by the determination step; and an evaluation step of evaluating, on the basis of a tallied result by the tally step, a breakup pattern of the interference fringe image of the tear fluid layer.

Abstract: Provided are a method and a device for evaluating a tear fluid to objectively evaluate and determine the severity of dry eye or the like. Color information is acquired in a predetermined region of a tear fluid interference fringe image, a numerical value representing a color diversity is calculated from the color information acquired, and the numerical value representing the color diversity thus calculated is used as an index for evaluating a tear fluid state.

Abstract: An analysis device includes: an acquirer that is configured to acquire data in which a physical quantity is associated with each unit area acquired by dividing a three-dimensional space, a three-dimensional time space, or a four-dimensional time space; a setter that is configured to set a detection region in a time space of three or more dimensions in the space or the time space and is configured to set a control region at a position surrounding a gap with the gap surrounding the detection region disposed in a space having the same dimensions as those of the detection region; and a determiner that is configured to determine whether or not one or more unit areas included in the detection region are predetermined areas on the basis of comparison between physical quantities of one or more unit areas included in the detection region and the control region set by the setter.

Abstract: Provided are a method, a computer program and a device for noninvasively evaluating a state of a tear fluid and a tear fluid amount of a tear meniscus. Included are a binarization step of binarizing a tear meniscus image, obtained by capturing at least a part of a tear meniscus of a subject, using a predetermined threshold value; an extraction step of extracting a high luminance region indicating a tear meniscus part from the binarized image; and an evaluation step of evaluating a tear fluid state on the basis of the high luminance region.

Abstract: A method, a computer program and a device for evaluating a tear fluid layer non-invasively. The method, computer program, and device include a step of detecting a time when color information in a predetermined region in a tear fluid layer interference fringe image changes by a threshold value or more as an eyelid opening time, a step of extracting an image at the time when the predetermined time has passed from the eyelid opening time as an extracted image from the tear fluid interference fringe images, a determination value calculation step of calculating a determination value from the color information in a pixel in a local region by scanning a predetermined target region, a step of detecting a corresponding pixel by comparing the calculated determination value and a threshold value, and an evaluation step of evaluating tear fluid layer breakdown by comparing the detected pixel and a threshold value.

Abstract: Provided are an analysis evaluation method and device, and a computer program for the state of a subject surface in a still image. The method includes: a step of acquiring color information of each pixel in a predetermined region in a still image, a step of calculating a numerical value indicating a diversity of color from the acquired color information, a step of calculating an average value of the color information, and a step of calculating a coefficient of variation on the basis of the calculated numerical value indicating the diversity of color and the calculated average value of the color information. Herein, the coefficient of variation is used as an index for evaluating the surface state of an object.