The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed. In additional, an image merging device is provided.

A method of evaluating equivalence of detection performances of an object to be photographed using a film image and a digital image. The method includes acquiring digital images of the object with varying values of an influence parameter; acquiring digital detection limit values of the respective digital images; specifying a digital detection limit value with highest detection performance from the digital detection limit values; determining that there is equivalence when the specified digital detection limit value is equal to or more than a film detection limit value of the film image, because the detection performance of the object using the digital image assures the detection performance of the object using the film image; and determining that there is no equivalence when the specified digital detection limit value is smaller than the film detection limit value.

Systems and methods for monitoring of icon in an external display device are disclosed. Images of an icon displayed in a display device may be continually captured as video frames by a video camera of an icon monitoring system. While operating in a first mode, video frames may be continually analyzed to determine if the captured image matches an active template icon known to match the captured image of the icon. While the captured image matches the active template icon, operating in the first mode continues. Upon detecting a failed match to the active template icon, the system starts operating in a second to search among known template icons for a new match. Upon finding a new match, the active template icon may be updated to the new match, and operation switches back to the first mode. Times of transitions between the first and second modes may be recorded.

The technology disclosed relates to identifying an object in a field of view of a camera. In particular, it relates to identifying a display in the field of view of the camera. This is achieved by monitoring a space including acquiring a series of image frames of the space using the camera and detecting one or more light sources in the series of image frames. Further, one or more frequencies of periodic intensity or brightness variations, also referred to as refresh rate, of light emitted from the light sources is measured. Based on the one or more frequencies of periodic intensity variations of light emitted from the light sources, at least one display that includes the light sources is identified.

An apparatus includes a wavefront sensor configured to receive coherent flood illumination that is reflected from a remote object and to estimate wavefront errors associated with the coherent flood illumination. The apparatus also includes a beam director optically coupled to the wavefront sensor and having a telescope and an auto-alignment system. The auto-alignment system is configured to adjust at least one first optical device in order to alter a line-of-sight of the wavefront sensor. The wavefront errors estimated by the wavefront sensor include a wavefront error resulting from the adjustment of the at least one first optical device. The beam director could further include at least one second optical device configured to correct for the wavefront errors. The at least one second optical device could include at least one deformable mirror.

To provide a shape measuring device capable of quickly and accurately acquiring a measurement value of a desired part of a measuring object. A specifying section 32 sets, on the basis of a relative positional relation between the first region in the measurement luminance image and a second region in the reference luminance image, a measurement target region corresponding to the reference target region in the measurement height image. A calculating section 33 calculates, on the basis of measurement height image data, a measurement value concerning height of the measuring object in the measurement target region.

An imaging system includes an imaging unit, a display unit, and at least one processor. The at least one processor is configured to acquire a first type of diagnostic imaging information of the patient; reconstruct a first image using the first type of diagnostic imaging information; if a first stop criterion for terminating imaging is not satisfied, acquire a second type of diagnostic imaging information having an increased level of acquisitional burden; reconstruct a second image; if a second stop criterion for terminating imaging is not satisfied, acquire a third type of diagnostic imaging information having an increased level of acquisitional burden, wherein the patient is maintained on a table of the imaging unit during the acquisition of the second type of diagnostic imaging information, reconstruction of the second image, and acquisition of the third type of diagnostic imaging information; reconstruct a third image; and display the third image.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for depth imaging. In one aspect, a method includes obtaining, by an image sensor that includes infrared pixels and color pixels, a first image of a scene while the image sensor is in a first position, moving the image sensor to a second position, wherein, in the second position, a particular infrared pixel is located where a particular color pixel was previously located when the image sensor was in the first position, obtaining, by the image sensor, a second image of the scene while the image sensor is in the second position, generating a composite image based on the first image and the second image, and determining an estimated distance to an object within the scene based on the composite image.

Techniques and systems are provided for processing one or more images. In one example, a method of processing a plurality of images comprises: obtaining a first image captured using a first aperture setting; obtaining a second image captured using a second aperture setting, the first aperture setting being associated with a smaller aperture size than an aperture size associated with the second aperture setting; detecting pixels of the first image having lens flare; and generating an output image by combining the first image and the second image, the first image and the second image being combined by replacing the pixels of the first image having the lens flare with corresponding pixels of the second image.

Apparatus, system and method for detecting defects in an adhesion area that includes an adhesive mixed with a fluorescent material. One or more illumination devices may illuminate the fluorescent material in the adhesion area with a light of a predetermined wavelength. A camera may be configured to capture an image of the illuminated adhesion area. A processing device, communicatively coupled to the camera, may be configured to process the captured image by applying one or more boundary areas to the captured image and determining an image characteristic within each of the boundary areas, wherein the image characteristic is used by the processing device to determine the presence of a defect in the adhesive, such as an excess of adhesive or an insufficient application of adhesive.