Abstract:
[Object] It is desired that a technology that can reduce image quality degradation of an image captured by a variable-field-of-view endoscopic device is provided.[Solution] There is provided a control device including: an image quality control unit configured to control image quality of an image for display on a basis of optical axis angle information with reference to a scope axis of an endoscope and an image signal acquired by an image sensor.
Abstract:
The present disclosure relates to an image processing device, an image processing method, and a surgical system with which more accurate surgical resection can be performed in a shorter time.An identifying unit identifies the type of tissue degeneration in a mid-surgery image. In accordance with the identified type of the tissue degeneration, a drawing unit draws auxiliary information for the operator, the auxiliary information being to be superimposed on the mid-surgery image. The present disclosure can be applied to an endoscopic surgical system or the like that includes a display device, a camera control unit (CCU), a light source device, a treatment tool device, a pneumoperitoneum apparatus, a recorder, a printer, an endoscope, an energetic treatment tool, forceps, trocars, a foot switch, and a patient's bed, for example.
Abstract:
An information processing apparatus, an information processing method, and an endoscope system capable of providing an optimal video image to an operator in accordance with surgical scenes are provided. A processing mode determination unit determines, in accordance with surgical scenes, a processing mode for an in-vivo image captured by an imaging apparatus including an imaging element arranged so as to enable pixel shift processing, and an image combining unit processes an image output from the imaging apparatus, in accordance with the processing mode. The present technology is applicable to, for example, an endoscope system for imaging a living body with an endoscope.
Abstract:
A feature amount generation unit 26a of an information processing unit 20-1 generates a feature amount indicating the relationship in spectral reflectance between two points, from spectral data of a multispectral image in an irradiation region of a common light source acquired by a multispectral camera 10. A recognition processing unit 27 performs recognition processing on a subject, on the basis of the feature amount generated by the feature amount generation unit 26a, with at least one of the two points regarded as a position in an image area of the subject that is a recognition target in the multispectral image. Therefore, the feature amount generation unit 26a can easily generate the feature amount robust against variation of the light source and appropriate for the subject. In addition, the authentication processing unit 27 can accurately perform the recognition processing even if the light source varies between registration of the subject and the recognition of the subject.
Abstract:
A medical system including a medical imaging device, and circuitry that obtains a plurality of first images each having a different phase from the medical imaging device, combines each of the plurality of first images a plurality of times to generate a plurality of second images, wherein each time of the plurality of times that the plurality of first images are combined, a different candidate process is used in the combining, and selects one image from the plurality of second images as an output image for display, the selected one image being higher quality than any one of the plurality of first images.
Abstract:
There is provided an image processing device including a matching degree calculation unit configured to calculate a matching degree between a pixel value of a target pixel in a standard image of a current frame and a pixel value of a corresponding pixel in a reference image of the current frame, and an estimation unit configured to estimate a disparity between the standard image and the reference image based on a result obtained by calculating the matching degree. The matching degree calculation unit calculates the matching degree using a disparity estimated for the standard image and the reference image of a previous frame.