Olympus Corporation

Masanori Mitsui

Takuji Horie

Joji Sakamoto

Yasuhiro Komiya

Yusuke Yamamoto

Hiromasa Fujita

Ken Sato

Shinya Kono

Akira Matsushita

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.

Image capturing device and control method

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.

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.

Subject identification device and subject identification method

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.

Shape estimation device, endoscope system including shape estimation device, shape estimation method, and program for shape estimation

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.

Detection device, learning device, detection method, learning method, and information storage device

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.

Imaging apparatus and microscope system having the same

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.

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.

Microscope system, image processing apparatus, and computer readable recording medium

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.

Microscope system and data distribution system

An imaging device, in which photoelectric conversion is performed by an imaging elementfor acquiring an image of a subject formed by the photographing lens, comprising a light source estimation unitfor generating estimated light source information for estimating a light source of the subject, on the basis of an image signal acquired by the imaging device; an light source sensorfor detecting a spectrum of the light source; a light source sensor information calculation unitfor generating a light source sensor information including the spectrum based on the spectrum; a color conversion parameter calculation unitfor calculating the color conversion parameters of the image signal based on the estimated light source information and the light source sensor information; and, a color conversion processing unitfor performing color conversion of the image signal by using the color conversion parameters. This allows the imaging device to realize precise color reproduction with an improved accuracy.

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Machida, Japan

Masanori Mitsui