Abstract: An image capturing device includes: an illuminator configured to generate illumination light having wavelength bands and an illumination characteristic; an imager configured to generate an image signal by capturing light from a subject; and a processor configured to: control the illumination characteristic; set a piece of statistical data used for estimating a spectral characteristic of the subject included in the image signal; estimate the spectral characteristic of the subject included in the image signal based on the set piece of statistical data; define an illumination characteristic of illumination light in accordance with the estimated spectral characteristic of the subject; and determine whether or not the set piece of statistical data is an adequate piece of statistical data based on whether or not an image signal generated by the imager under the illumination light having the defined illumination characteristic satisfies a criterion for achromatic color.

Abstract: An image capturing device includes: an illuminator configured to generate illumination light composed of components at a plurality of wavelength bands, each of the components having a characteristic in accordance with a corresponding one of settings; an imager configured to generate an image signal by capturing light from a subject; and a processor. The processor is configured to: set an acquisition condition for acquiring spectral information of the subject, the acquisition condition including a condition related to an operation of each of the illuminator and the imager; analyze the image signal generated by the imager based on the acquisition condition in order to acquire the spectral information of the subject; determine whether or not the acquired spectral information satisfies an end condition for ending acquisition of the spectral information; and change the acquisition condition when the processor determines that the end condition is not satisfied.

Abstract: A subject identification device includes: an illuminator configured to generate illumination light including components at a plurality of wavelength bands, each of the components having a characteristic in accordance with a respective one of settings; an imager configured to generate an image signal by capturing light from a subject under the illumination light having the illumination characteristic; and a processor including hardware. The processor is configured to: define an illumination characteristic of the illumination light; analyze the image signal to acquire spectral information of the subject; and cross check the spectral information of the subject with subject identification information in order to identify the subject. When the subject is not identified, the processor is configured to define another illumination characteristic that causes spectral information of potentials for the subject to be identified, and subsequently each of the imager and the processor performs a process.

Abstract: An image processing apparatus includes a processor including hardware. The processor is configured to: calculate a hue of each pixel of a stained image that is input from outside; execute classification on each pixel of the stained image based on the hue; modulate a color tone of the pixel of the stained image in each class having undergone the classification; combine a plurality of input images to generate a combined image; calculate a color distribution of each pixel of the combined image; execute classification on each pixel of the combined image by using the color distribution; and calculate an average hue of each class having undergone the classification on each pixel of the combined image based on the color distribution and a classification result of classification of the combined image so as to calculate a standard hue.

Abstract: A subject identification device includes: an illuminator configured to generate illumination light including components at a plurality of wavelength bands, each of the components having a characteristic in accordance with a respective one of settings; an imager configured to generate an image signal by capturing light from a subject under the illumination light having the illumination characteristic; and a processor including hardware. The processor is configured to: define an illumination characteristic of the illumination light; analyze the image signal to acquire spectral information of the subject; and cross check the spectral information of the subject with subject identification information in order to identify the subject. When the subject is not identified, the processor is configured to define another illumination characteristic that causes spectral information of potentials for the subject to be identified, and subsequently each of the imager and the processor performs a process.

Abstract: An image capturing device includes: an illuminator configured to generate illumination light composed of components at a plurality of wavelength bands, each of the components having a characteristic in accordance with a corresponding one of settings; an imager configured to generate an image signal by capturing light from a subject; and a processor. The processor is configured to: set an acquisition condition for acquiring spectral information of the subject, the acquisition condition including a condition related to an operation of each of the illuminator and the imager; analyze the image signal generated by the imager based on the acquisition condition in order to acquire the spectral information of the subject; determine whether or not the acquired spectral information satisfies an end condition for ending acquisition of the spectral information; and change the acquisition condition when the processor determines that the end condition is not satisfied.

Abstract: An image capturing device includes: an illuminator configured to generate illumination light having wavelength bands and an illumination characteristic; an imager configured to generate an image signal by capturing light from a subject; and a processor configured to: control the illumination characteristic; set a piece of statistical data used for estimating a spectral characteristic of the subject included in the image signal; estimate the spectral characteristic of the subject included in the image signal based on the set piece of statistical data; define an illumination characteristic of illumination light in accordance with the estimated spectral characteristic of the subject; and determine whether or not the set piece of statistical data is an adequate piece of statistical data based on whether or not an image signal generated by the imager under the illumination light having the defined illumination characteristic satisfies a criterion for achromatic color.

Abstract: A shape estimation device includes an input circuit, a storage circuit and an arithmetic circuit. The input circuit receives light amount information being a relationship between a wavelength and a light amount. The light amount information is acquired by using a sensor configured such that the light amount to be detected with respect to the wavelength corresponding to each of sensing parts varies in accordance with a shape of each of the sensing parts. The storage circuit stores a relationship among the shape, the wavelength and the light amount with respect to each sensing part. The arithmetic circuit calculates the shape of each sensing part, based on the light amount information, and a light amount estimation value being a relationship between the wavelength and the light amount.

Abstract: A detection device includes an image acquisition section that acquires an image that has been captured by an imaging section, and includes an image of an object, a distance information acquisition section that acquires distance information about the distance from the imaging section to the object, a feature quantity calculation section that calculates a feature quantity from the image, a learning feature quantity storage section that stores a learning feature quantity calculated by a learning process corresponding to each of a plurality of distance ranges that are set corresponding to the distance from the imaging section to the object, and a detection section that determines a distance range that corresponds to the feature quantity based on the distance information, and detects the target area based on the learning feature quantity that corresponds to the determined distance range, and the feature quantity calculated by the feature quantity calculation section.

Abstract: An image processing apparatus is provided in an imaging system having an image capturing unit. The image capturing unit is configured to irradiate a subject with light and to generate first image data representing a first image based on the light reflected from the subject and having first spectral characteristics, and to generate second image data representing a second image based on the light reflected from the subject and having second spectral characteristics different from the first spectral characteristics. The image processing apparatus includes: a computing unit that determines a degree of correlation between the first image and the second image; and a control unit that causes the image capturing unit to generate the first image data at a preset frame rate, and controls timing to generate the second image data instead of the first image data based on a determination result of the degree of correlation.

Abstract: A shape estimation device includes an input circuit, a storage circuit and an arithmetic circuit. The input circuit receives light amount information being a relationship between a wavelength and a light amount. The light amount information is acquired by using a sensor configured such that the light amount to be detected with respect to the wavelength corresponding to each of sensing parts varies in accordance with a shape of each of the sensing parts. The storage circuit stores a relationship among the shape, the wavelength and the light amount with respect to each sensing part. The arithmetic circuit calculates the shape of each sensing part, based on the light amount information, and a light amount estimation value being a relationship between the wavelength and the light amount.

Abstract: Disclosed is an imaging apparatus including: a spectroscopic measurement section configured to measure a spectral characteristic of a subject; a spectral image capture section configured to capture a subject image separated into a plurality of colors through color separation to create a plurality of spectral images; and a color separation characteristic determining section configured to determine a color separation characteristic to be used for image capturing of the spectral image capture section, based on the spectral characteristic of the subject measured by the spectroscopic measurement section. The color separation characteristic determining section determines a count of color separations in the image capturing of the spectral image capture section and spectral bands corresponding to each of the color separations.

Abstract: A detection device includes an image acquisition section that acquires an image that has been captured by an imaging section, and includes an image of an object, a distance information acquisition section that acquires distance information based on a distance from the imaging section to the object when the imaging section has captured the image, a feature quantity calculation section that calculates a feature quantity from the acquired image, the feature quantity relating to at least one of a color, a brightness, a color difference, and a spectrum of the object, a learning feature quantity storage section that stores a learning feature quantity calculated by a learning process based on the distance from the imaging section to the object, and a detection section that detects a target area from the image based on the learning feature quantity, the distance information, and the feature quantity.

Abstract: A microscope system includes: a microscope that generates an observation image of a specimen; an image obtaining unit that obtains an RGB image of the specimen; a spectroscopic information obtaining unit that obtains spectroscopic information of the specimen; an analyzer that analyzes the RGB image; a determining unit that determines a necessity of obtaining the spectroscopic information based on a result of the analysis of the analyzer; and a control unit that controls an operation of the spectroscopic information obtaining unit based on a result of the determination of the determining unit.

Abstract: A microscope system includes a microscope apparatus, a pigment content converter, a property information adding unit, and a communication unit. The microscope apparatus acquires, by using a microscope, a pathology specimen image of a pathology specimen stained with a predetermined pigment. The pigment content converter converts, by using pigment spectral data, pixel values of the pathology specimen image to the pigment content at corresponding sample points on the pathology specimen. The property information adding unit generates conversion image data by adding the pigment spectral data, which is used for the conversion, to the pigment content of each pixel that is converted by the pigment content converter. The communication unit transmits the conversion image data to a terminal device.

Abstract: A detection device includes an image acquisition section that acquires an image that has been captured by an imaging section, and includes an image of an object, a distance information acquisition section that acquires distance information about the distance from the imaging section to the object, a feature quantity calculation section that calculates a feature quantity from the image, a learning feature quantity storage section that stores a learning feature quantity calculated by a learning process corresponding to each of a plurality of distance ranges that are set corresponding to the distance from the imaging section to the object, and a detection section that determines a distance range that corresponds to the feature quantity based on the distance information, and detects the target area based on the learning feature quantity that corresponds to the determined distance range, and the feature quantity calculated by the feature quantity calculation section.

Abstract: An image processing device, an endoscope apparatus, an image processing method, an image processing program, and the like make it possible to perform an appropriate enhancement process corresponding to the observation state. The image processing device includes an image acquisition section that acquires a captured image that includes an image of an object, a motion amount acquisition section that acquires a motion amount of the object, a known characteristic information acquisition section that acquires known characteristic information that is information that represents known characteristics relating to the object, and an enhancement processing section that performs an enhancement process that corresponds to the motion amount based on the known characteristic information.

Abstract: Provided is a lead frame by which a die pad can be easily exposed when the lead frame is used for a semiconductor device. The lead frame has a die pad with an upper surface on which a semiconductor element is mounted. The lead frame is used for the semiconductor device with the exposed surface of the die pad being exposed from a sealing resin. A downwardly-projecting first metal burr is formed along the peripheral portion of the exposed surface of the die pad and heads of the first metal burr are flat.

Abstract: A detection device includes an image acquisition section that acquires an image that has been captured by an imaging section, and includes an image of an object, a distance information acquisition section that acquires distance information based on a distance from the imaging section to the object when the imaging section has captured the image, a feature quantity calculation section that calculates a feature quantity from the acquired image, the feature quantity relating to at least one of a color, a brightness, a color difference, and a spectrum of the object, a learning feature quantity storage section that stores a learning feature quantity calculated by a learning process based on the distance from the imaging section to the object, and a detection section that detects a target area from the image based on the learning feature quantity, the distance information, and the feature quantity.

Abstract: Provided is a lead frame by which a die pad can be easily exposed when the lead frame is used for a semiconductor device. The lead frame has a die pad with an upper surface on which a semiconductor element is mounted. The lead frame is used for the semiconductor device with the exposed surface of the die pad being exposed from a sealing resin. A downwardly-projecting first metal burr is formed along the peripheral portion of the exposed surface of the die pad and heads of the first metal burr are flat.