Systems and methods are provided for automatically imaging and analyzing cell samples in an incubator. An actuated microscope operates to generate images of samples within wells of a sample container across days, weeks, or months. A plurality of images is generated for each scan of a particular well, and the images within such a scan are used to image and analysis metabolically active cells in the well. Tins analysis includes generating a “range image” by subtracting the minimum intensity value, across the scan, for each pixel from the maximum intensity value. This range image thus emphasizes cells or portions of cells that exhibit changes in activity over a scan period (e.g., neurons, myocytes, cardiomyocytes) while de-emphasizing regions that exhibit consistently high intensities when images (e.g., regions exhibiting a great deal of autofluorescence unrelated to cell activity).

An information processing apparatus includes a movable object detector that detects a movable object from a captured image captured with a fisheye camera, a human determiner that determines whether the movable object is a human by comparing a distance between two predetermined points on an outline of a movable object area including the movable object with a threshold range set based on a height of the human measured at a position of the movable object in the captured image, and a human detector that detects the human from the movable object area including the movable object determined as the human by the human determiner.

A method for printing defect detection includes processing and analyzing a difference image obtained by comparing an image scanned with a verifier to a reference image. The detected defects are grouped, and the grouping is refined. Confidence level values are then assigned to the refined groups, and analysis is performed to determine if one or more servicing actions should be taken.

A method for printing defect detection includes processing and analyzing a difference image obtained by comparing an image scanned with a verifier to a reference image. The detected defects are grouped, and the grouping is refined. Confidence level values are then assigned to the refined groups, and analysis is performed to determine if one or more servicing actions should be taken.

A lens unit comprises a shake detector; a shake correction mechanism for correcting image blur; a setting unit for setting a ratio of shake to be corrected by the shake correction mechanism; a control unit for, based on the shake detected by the shake detector and the ratio of shake, calculating a first shake correction amount and control an image shake correction operation by the shake correction mechanism; and a target-value correction unit for correcting the first shake correction amount, based on a difference between a result of detecting shake by the shake detector, and a result of detecting shake by a shake detector provided in the imaging device, wherein the control unit controls the shake correction mechanism based on an image stabilization amount corrected in accordance with the target-value correction unit.

The described technology is directed towards generating a new video image sequence (e.g., for playback at 30 frames per second) based on an existing video image sequence (e.g., originated for playback at 24 frames per second). The technology is based on processing frames, e.g., adjacent pairs of frames in a four-frame sequence, to obtain candidate frames for selecting a similar candidate frame to insert into the original sequence to create the new sequence (e.g., a five-frame sequence). Aspects include selecting a repeated frame to insert or creating a new frame from existing frames to insert, to generate the new sequence based on a difference/scoring comparison.

A setting reception unit obtains information identifying an object selected by a user from foreground objects as a target to be a part of the background. A backgrounded target determination unit identifies the model ID of the selected object based on the object identifying information obtained and three-dimensional shape data. Based on the three-dimensional shape data, the determination unit identifies a foreground ID corresponding to the identified model ID, in a captured image from an actual camera. The determination unit obtains coordinate information and mask information in foreground data corresponding to the foreground ID identified, generates a correction foreground mask, and sends the mask to a background correction unit in an image processing unit. The background correction unit generates a correction image by masking the captured image using the mask, superimposes the correction image onto the background image, and outputs it as a corrected background image.

Embodiments of the present disclosure provide a method and apparatus for generating a background-free image, a device, and a medium. The method may include: determining an image proportion of a target subject in an original image; clipping, in response to the image proportion being less than a preset threshold, a subject region image corresponding to the target subject from the original image; determining a corresponding subject region mask based on the subject region image; and synthesizing the subject region mask and the subject region image to generate a background-free image corresponding to the original image.

Embodiments of the present disclosure provide a method and apparatus for generating a background-free image, a device, and a medium. The method may include: determining an image proportion of a target subject in an original image; clipping, in response to the image proportion being less than a preset threshold, a subject region image corresponding to the target subject from the original image; determining a corresponding subject region mask based on the subject region image; and synthesizing the subject region mask and the subject region image to generate a background-free image corresponding to the original image.

An information processing system includes an imaging unit that generates an image signal by imaging and an information processing device. The information processing device performs at least any one of plural kinds of image processing on a taken image corresponding to the image signal. The information processing device specifies an object corresponding to a partial image included in the taken image on the basis of a state of the object corresponding to the partial image included in the taken image or a degree of reliability given to a processing result of the performed image processing.