The present disclosure relates to an imaging device, a manufacturing method, a semiconductor device, and an electronic device that can further improve image quality. An imaging device includes a photoelectric conversion unit that receives and photoelectrically converts light, a floating diffusion layer that accumulates charge generated by the photoelectric conversion unit, and a diffusion layer that serves as a source or a drain of a transistor. Then, the floating diffusion layer is formed to have an impurity concentration lower than an impurity concentration of the diffusion layer. In addition, both a first photoelectric conversion unit that is able to accumulate the charge generated by the photoelectric conversion and a second photoelectric conversion unit from which the charge generated by the photoelectric conversion is sequentially taken out and accumulated in the floating diffusion layer are provided as the photoelectric conversion unit in one pixel, and the first photoelectric conversion unit and the second photoelectric conversion unit are arranged in a line in a longitudinal direction along a direction of illumination of light. The present technology can be applied to, for example, a back-illuminated CMOS image sensor.

Provided is an irradiation system for reliably detecting a desired detection target and precisely irradiating marking light on the detected detection target. The irradiation system includes: a server device detecting, by authentication processing, a detection target from image data capturing a monitored area, generating, from each piece of a plurality of pieces of image data captured in a time span including a capture time of image data in which the detection target is detected, lightweight data obtained by lightening an amount of data in the plurality of pieces of image data, and transmitting tracking data obtained by aggregating a plurality of pieces of generated lightweight data; and a terminal device capturing the monitored area and outputting image data, transmitting the captured image data to the server device and also receiving the tracking data from the server device, and irradiating light on the detection target, based on the received tracking data.

Introduced here is a machine learning related technique for supplying an observed model additional training data based upon previously received training data. To determine textual content of a character string based on a digital image that includes a handwritten version of the character string a substantial amount of training data is used. The character string can include one or more characters, and the characters can include any of letters, numerals, punctuation marks, symbols, spaces, etc. Disclosed herein is a technique to determine variations between different images of matching known character strings and substitute those variations into the images in order to create more images with the same known character string.

An image processing apparatus comprising: an acquisition unit that acquires exposure information of an image signal; a setting unit that sets tone conversion characteristic based on the exposure information and visual characteristics; and a tone conversion unit that performs tone conversion on the image signal using the tone conversion characteristic. The visual characteristics is a minimum amount of luminance change that a human can recognize and that differ for different luminance, and the setting unit obtains for each luminance an intersection of a first function that indicates a ratio of an amount of luminance change per one code value difference of the image signal before the tone conversion is performed and a second function that indicates a ratio of a minimum amount of luminance change that a human can recognize, and sets the tone conversion characteristic based on the intersection.

A method and system are provided for automatically positioning a medical diagnostic device. The method and system use a database of images that includes reference images and user-preferred images to position the medical diagnostic device. The medical diagnostic device in an initial position is moved to a final position based on the images in the database.

Systems and methods for determining the calibration of an endoscopic camera consisting in a camera-head equipped with exchangeable, rotatable optics (the rigid endoscope), which is accomplished with no user intervention in the Operating Room by first characterizing the rigid endoscope through a set of parameters and then using this lens descriptor as input in a real-time software that processes the images acquired by an arbitrary camera-head equipped with the rigid endoscope, to provide the calibration of the complete endoscopic camera arrangement at every frame time instant, irrespective of the relative rotation of the lens scope with respect to camera-head or zoom settings. Also disclosed is an image software method that detects if the lens descriptor is not compatible with the rigid endoscope in use to prevent errors and warn the user about faulty situations.

Disclosed herein is computer-implemented method for processing at least one image of a location of a body of a subject. The method may comprise obtaining the at least one image, and using a trained algorithm to classify the at least one image or a derivative thereof to a category among a plurality of categories comprising a first category and a second category. The classifying may comprise applying a image processing algorithm. The method may comprise, based at least in part on the classifying, designating the at least one image or derivative thereof as having a first or second priority (e.g., lower priority or urgency than the first priority) for radiological assessment if the at least one image is classified to the first or second category, respectively. The method may comprise generating an electronic assessment of the subject, such as a negative report indicative of the subject not having a health condition.

An imaging apparatus includes a catheter insertable into a vessel and including a scanner, the catheter acquiring images of the vessel, and a processor configured to: control the catheter to emit the signals along scanning lines and acquire the images therefrom, for each image, determine a representative line based on brightness values of pixels of the image, and for each scanning line, determine a calculation range based on an intersection of the representative line and the scanning line, and calculate an index value using brightness values of pixels of the scanning line, the pixels being located in the range, determine colors corresponding to the index values calculated for the scanning lines of each image, generate an image of the vessel in which pixels corresponding to the scanning lines of each image and having the determined colors are arranged a first direction.

A system, method, and computer program product for registering two or more patient images for change assessment over time. An example aspect is configured to: obtain a new image of an area with an image capture system; obtain a reference image of a similar area; perform pre-processing of the new image and the reference image; perform a coarse alignment of the new image and the reference image; perform a high-resolution estimate; perform a high-resolution alignment; cross-check the at least one-point match to eliminate false matches and confirm correct matches of the high-resolution new image and the high-resolution reference image; perform segmentation of the high-resolution new image and the high-resolution reference image; perform analysis on at least one lesion in the high-resolution new image and the high-resolution reference image; and display a result of the analysis on a validator.

An electro-optic observation device, in particular a thermal imaging device, is provided. The electro-optic observation device includes a handheld device housing, a lens group arranged in the device housing on the entrance side, an image capture unit arranged in the device housing on the image side with respect to the lens group, an image display unit arranged in the device housing, an eyepiece arranged on the exit side with respect to the image display unit, and also a control device configured to control at least the image display unit depending on user-specifically variable parameters. In addition, the electro-optic observation device includes, as input means for varying the parameters, a rotary wheel accessible on the device housing for access by a user.