Abstract: A surface modifying method of modifying a bonding surface of a substrate to be bonded to another substrate by plasma of a processing gas includes an adjusting process and a modifying process. In the adjusting process, an amount of moisture in a processing vessel is adjusted by supplying a humidified gas into the processing vessel allowed to accommodate the substrate therein. In the modifying process, the bonding surface of the substrate is modified by forming the plasma of the processing gas in the processing vessel in a state that the amount of moisture in the processing vessel is adjusted.

Abstract: A monitoring apparatus includes a camera interface, a terminal interface, a communication interface, and a processor. The processor is configured to recognize actions of a settler at a point-of-sale terminal based on images from a camera, recognize input operations performed at the point-of-sale terminal by the settler based on information from the point-of-sale terminal and detect fraudulent acts based on a recognized action and a recognized input operation at the point-of-sale terminal. The processor outputs a fraud detection image corresponding to a detected fraudulent act to at least one of the point-of-sale terminal and an attendant terminal.

Abstract: In one example, an imaging apparatus includes an exposure controller that performs exposure control on the basis of information of a region of interest detected from a captured image by a region-of-interest detector. The exposure controller performs different exposure control for different cases, such as whether the region of interest is detected from the captured image. It obtains an exposure correction value on the basis of the region-of-interest exposure target value before a time of region-of-interest lost, and then performs exposure control with the exposure control value obtained by correcting the set region exposure target value with the exposure correction value, in a predetermined period in which the region of interest is not detected continuously from the time of the region-of-interest lost in which the region of interest is not detected from the captured image.

Abstract: To suppress a difference in brightness and darkness in a captured image caused by a difference in an exposure start time by a rolling shutter even if the exposure period is not changed. Provided is an imaging device including a gain setting unit configured to set a gain for each line in which a plurality of pixels is arrayed, the plurality of pixels being two-dimensionally arranged in a matrix in an image sensor, on the basis of diaphragm drive information regarding a diaphragm drive locus representing a time-series change in a diaphragm value. Thereby, the difference in brightness and darkness in a captured image caused by the difference in an exposure start time by a rolling shutter can be suppressed even if the exposure period is not changed.

Abstract: An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.

Abstract: An image inspection device that determines a defect in an image of a surface to be inspected of a printed matter, based on a comparison between a captured image obtained by capturing the surface to be inspected and a master image includes a hardware processor that acquires the captured image and the master image, wherein the hardware processor: acquires region information about an image in a region having a predetermined area; specifies a processing technique of image alignment for each region in relation to the region information; executes at least an alignment process in relation to the region information as a process before the comparison by the specified alignment technique; and compares the captured image and the master image, on which the process before the comparison has been performed, and performs defect determination as to whether there is a defect in the captured image based on a comparison result.

Abstract: To suppress a difference in brightness and darkness in a captured image caused by a difference in an exposure start time by a rolling shutter even if the exposure period is not changed. Provided is an imaging device including a gain setting unit configured to set a gain for each line in which a plurality of pixels is arrayed, the plurality of pixels being two-dimensionally arranged in a matrix in an image sensor, on the basis of diaphragm drive information regarding a diaphragm drive locus representing a time-series change in a diaphragm value. Thereby, the difference in brightness and darkness in a captured image caused by the difference in an exposure start time by a rolling shutter can be suppressed even if the exposure period is not changed.

Abstract: An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.

Abstract: An image inspection device detects an abnormality of a formed image by comparing imaged data obtained by imaging the formed image with original image data of the formed image. The image inspection device includes a hardware processor that: adjusts the original image data to reduce sharpness of the original image data; and detects the abnormality by comparing the adjusted original image data with the obtained imaged data. The hardware processor partly restricts the reduction of the sharpness.

Abstract: There is provided an image processing device including an input receiver of inputting an image obtained by photographing a specimen subjected to staining and a hardware processor. The hardware processor extracts a region subjected to the staining from the image as a cell region; extracts a region as a candidate region, the region being surrounded by the cell region and not being subjected to the staining. The hardware processor further extracts a feature amount of the candidate region; determines whether or not the candidate region is a cell region on a basis of the feature amount; and corrects the candidate region which is determined to be a cell region by the distinction means to be a cell region.

Abstract: An image processing device and a program capable of extracting a cell region as a diagnosis target more accurately may be provided. An image processing device is characterized by: first extraction means (control unit 21) for extracting a candidate region from a form image representing a form of a cell in a tissue sample; acquisition means (control unit 21) for acquiring biological substance information on at least one kind of the biological substance from images representing expression of one or more kinds of biological substances in the tissue sample; and second extraction means (control unit 21) for extracting a diagnosis target region from the candidate region based on characteristic information indicating characteristics of the candidate region and/or the biological substance information.

Abstract: An inspection device includes: an image acquirer that acquires an inspection target image; an edge extractor that extracts an edge from each of the inspection target image and a reference image to be used in inspecting the output image; a defect candidate region extractor that extracts a defect candidate region having a possibility of a defect by comparing the inspection target image with the reference image; an edge direction calculator that calculates a direction of the edge in the inspection target image and a direction of the edge in the reference image; and a defect determiner that determines whether the defect candidate region is a defect, on a basis of the direction of the edge in the inspection target image and the direction of the edge in the reference image at a position corresponding to the defect candidate region.

Abstract: Provided are a non-transitory computer-readable recording medium storing an image analysis program and an image analysis method which can properly extract a cell nucleus area corresponding to a diagnostician from an image for pathological diagnosis with reducing a burden on diagnosticians. A device for analyzing images for pathological diagnosis, acquires a pathological diagnosis image prepared by shooting a tissue specimen, and extracts possibles for a cell nucleus area from the pathological diagnosis image, by using a first parameter for determining a criterion for cell nucleus determination for each diagnostician. The device further extracts one or more cell nucleus areas from the possibles for a cell nucleus area, by using the second parameter for determining a criterion for cell nucleus determination for each diagnosis purpose, and causes a display unit to display the pathological diagnosis image with the one or more cell nucleus areas made recognizable.

Abstract: An image inspection device that determines a defect in an image of a surface to be inspected of a printed matter, based on a comparison between a captured image obtained by capturing the surface to be inspected and a master image includes a hardware processor that acquires the captured image and the master image, wherein the hardware processor: acquires region information about an image in a region having a predetermined area; specifies a processing technique of image alignment for each region in relation to the region information; executes at least an alignment process in relation to the region information as a process before the comparison by the specified alignment technique; and compares the captured image and the master image, on which the process before the comparison has been performed, and performs defect determination as to whether there is a defect in the captured image based on a comparison result.

Abstract: There is provided an image processing device including an input receiver of inputting an image obtained by photographing a specimen subjected to staining and a hardware processor. The hardware processor extracts a region subjected to the staining from the image as a cell region; extracts a region as a candidate region, the region being surrounded by the cell region and not being subjected to the staining. The hardware processor further extracts a feature amount of the candidate region; determines whether or not the candidate region is a cell region on a basis of the feature amount; and corrects the candidate region which is determined to be a cell region by the distinction means to be a cell region.

Abstract: An image processing device and a program capable of extracting a cell region as a diagnosis target more accurately may be provided. An image processing device is characterized by: first extraction means (control unit 21) for extracting a candidate region from a form image representing a form of a cell in a tissue sample; acquisition means (control unit 21) for acquiring biological substance information on at least one kind of the biological substance from images representing expression of one or more kinds of biological substances in the tissue sample; and second extraction means (control unit 21) for extracting a diagnosis target region from the candidate region based on characteristic information indicating characteristics of the candidate region and/or the biological substance information.

Abstract: A package reception system according to an embodiment includes a measurement device. A camera captures an image of a package positioned on a surface of the measurement device and generates image data corresponding to the captured image. A first processor of the measurement determines a size of the package based on the image data. The measurement device outputs a settlement request that includes the image data, the determined size, and instructions to perform a settlement processing. The system further includes a settlement device with a storage device. A second processor of the settlement device receives the issuance request, and performs the settlement processing with respect to the fee calculated based on a size of the package determined based on the image data. The second processor controls the storage device to store, in association, the image data, the determined size, and a package code for identifying the package.

Abstract: A package measurement apparatus according to an embodiment includes a housing having a first surface that supports a package to be placed thereon and a second surface above the first surface. A touch panel display is mounted on the second surface and is positioned facing upward. A camera is positioned to capture an image of the package when the package is placed on the first surface and configured to generate image data corresponding to the captured image.

Abstract: A package reception system according to an embodiment includes a measurement device with a camera that captures an image of a package and generates image data corresponding to the captured image. A first processor in the measurement device determines a size of the package based on the image data. The measurement device outputs an issuance request including instructions to perform a settlement processing with respect to a fee for receiving and transporting the package and to print an invoice to be used in connection with transporting the package. The system further includes a settlement device. A second processor in the settlement device receives the issuance request, and performs the settlement processing with respect to the fee calculated based on a size of the package determined based on the image data. The second processor controls a printer to print, after the settlement processing is performed, the invoice.

Abstract: An image processing device extracts a candidate region and region information of the cell nucleus from a cell image (S20), judges whether or not to correct the candidate region of the cell nucleus on the basis of the region information of the cell nucleus, and corrects the candidate region of the cell nucleus on the basis of the judged result (S40).