A method of generating a color image using a monochromatic image sensor. The method includes sequentially illuminating a surface in a plurality of colors, one color at a time. The monochromatic image sensor captures a plurality of image frames of the surface based on the plurality of colors. The plurality of image frames are identified, and at least one feature in the target of the plurality of image frames is highlighted. Color intensities of the plurality of image frames are normalized. A color intensity map of the target for each of the plurality of image frames is generated. A correlation score is determined by comparing each color intensity map of the plurality of image frames. The color image is generated based on the correlation score.

A device for determining the surface topology and associated color of a structure, such as a teeth segment, includes a scanner for providing depth data for points along a two-dimensional array substantially orthogonal to the depth direction, and an image acquisition means for providing color data for each of the points of the array, while the spatial disposition of the device with respect to the structure is maintained substantially unchanged. A processor combines the color data and depth data for each point in the array, thereby providing a three-dimensional color virtual model of the surface of the structure. A corresponding method for determining the surface topology and associate color of a structure is also provided.

An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n≥3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m≥2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

The present disclosure is directed towards a video display system and an endoscopic system configured to provide the surgeon with an optimized video image based upon user preference. The video display system includes a first video image displaying a white light video of a surgical site. The first video image has a first predetermined area. A second video image is overlaid on the first video image. The second video image is displayed in a fluorescent light video. The second video image is centered on the surgical site and includes a second predetermined area. The second predetermined area is smaller than the first predetermined area so as to define a boundary of white light video. Thus, the video display system provides the surgeon with the ability to reference the location of the fluorescent light video with respect to anatomical features of the surgical site.

A method of operating a surgical visualization system includes illuminating an anatomical field of a patient using a waveform transmitted by an emitter. The method also includes capturing an image of the anatomical field based on the waveform using a receiver. The emitter and the receiver are configured for multispectral imaging or hyperspectral imaging. The method also includes determining an adjustment to at one operating parameter of the surgical visualization system based on at least one environmental scene parameter. The method also includes automatically implementing the adjustment to the at least one operating parameter to aid in identification of at least one anatomical structure in the anatomical field.

A system may be provided which comprises an illumination source adapted to simultaneously illuminate a surgical site with spectral light comprising a first wavelength of light and a second wavelength of light, a first set of sensors comprising sensors adapted to detect visible light, and a second set of sensors comprising sensors adapted to detect the first wavelength of light; and sensors adapted to detect the second wavelength of light. In such a case, the system may also comprise a display coupled to a processor configured to display an enhanced image of the surgical site comprising a visible light image from data detected by the first set of sensors and an overlay identifying a target structure based on light detected by the second set of sensors while the surgical site is illuminated by spectral light comprising the first and second wavelengths of light.

In order to improve imaging, in particular for low light intensities, an image recording device, in particular formed as an endoscope, is proposed, which comprises a single photon sensitive detector (SPSD) in addition to an image sensor, which uses photodiodes as light-sensitive cells, in order to respectively detect light from a common object area. With the help of the SPSD, additional image information can be obtained from the object area, to improve the image data recorded with the image sensor or to enhance it with additional image information, in particular with regard to a further spectral range, which is captured with the SPSD.

A diagnosis support apparatus performs identification for a plurality of support items, which are identification classifications about diagnosis support, and the diagnosis support apparatus is provided with a processor. The processor performs analysis processing for acquiring analysis results including an analysis result about an observation mode by analyzing at least one of an input signal specifying the observation mode and an observation image obtained by observing an inside of a subject with an endoscope; performs support item setting processing for setting a support item corresponding to the analysis results obtained by the analysis processing, among the plurality of support items, which are the identification classifications; and generates diagnosis support information, which is information used for diagnosis of a legion candidate area included in the observation image, based on an identification index corresponding to the set support item and the observation image.

An image processing device acquires an image obtained by irradiating an area of a living body with light having a wavelength of 955 [nm] to 2025 [nm]. The image processing device inputs the acquired image to a learned model or a statistical model generated in advance for detecting, from the image, a tumor present in the area, and determines whether or not a tumor is present at each point in the image.

Improved fluorescent imaging and other sensor data imaging processes, including hyperspectral imaging, devices, and systems are provided to enhance endoscopes with multiple wavelength capabilities and providing sequential imaging and display. A first optical device is provided for endoscopy imaging in a white light and a fluoresced light mode with an imaging unit including one or more image sensors. A mechanism in the first optical device to automatically adjust the focus of the first optical device using one or more deformable, variable-focus lenses, wherein the automatic focus adjustment compensates for a chromatic focal difference between the light collected at distinct wavelength bands caused by the dispersive or diffractive properties of the optical materials or optical design employed in the construction of the first or second optical devices, or both. Further variable spectrum imaging is enhanced with the use of adjustable spectral filters.