Provided are a captured image evaluation apparatus, a captured image evaluation method, and a captured image evaluation program capable of evaluating a thickness and a density of stacked cultured cells in a short imaging time. The captured image evaluation apparatus includes: an image acquisition section 52 that acquires captured images obtained by imaging a subject under a condition in which a numerical aperture of an objective lens is changed; a thickness estimation section 53 that estimates a thickness of the subject on the basis of a low NA captured image obtained under a condition in which the numerical aperture of the objective lens is relatively small; and a density estimation section 54 that estimates a density of the subject on the basis of a high NA captured image obtained under a condition in which the numerical aperture of the objective lens is relatively large.

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.

Systems and methods for measuring the concentricity of golf balls using filter pairs to gather and analyze data on concentricity.

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.

A skin condition measuring module according to the present invention can be designed to effectively diagnose a user's skin condition while being installed within or connected with: a kiosk; a skin condition measuring mirror; a vending machine for performing skin condition measurement and providing cosmetic products; or a module-embedded skin condition measuring device.

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.

A blood sample processor for imaging a centrifuged blood sample is provided including a transparent container with the centrifuged blood sample therein. An illumination source is positioned to illuminate the centrifuged blood sample at a non-right angle to the transparent container. A digital camera disposed opposite the transparent container images the centrifuged blood sample and the image is processed to determine the relative locations of component layers of the centrifuged blood sample.

Disclosed herein are methods and systems for analyzing a cross-sectional feature of a structural element on a semiconductor wafer to determine whether an isolated or a systemic failure to reach preselected parameters occurred.

An image restoration method includes determining an anchor image based on individual images of a burst image set, executing a feature extraction network based on the burst image set while using anchor information of the anchor image, and generating a restored image based on a feature map corresponding to an output of the feature extraction network.

Systems and method for expanding a dynamic range associated with an image are disclosed. The method includes capturing an image of a scene via an imaging device using a single exposure. The image of the scene includes a plurality of polarization images corresponding to different angles of polarization, and each of the polarization images comprise a plurality of color channels. The method further includes determining a criterion for each of the plurality of color channels; selecting one color channel of the plurality of color channels based on determining of the criterion; generating a reconstructed image irradiance for the one color channel based on pixels in two or more of the plurality of polarization images obtained for the one color channel; and outputting a reconstructed image with the reconstructed image irradiance.