A metrology system is provided including a projected pattern for points-from-focus type processes. The metrology system includes an objective lens portion, a light source, a pattern projection portion and a camera. Different lenses (e.g., objective lenses) having different magnifications and cutoff frequencies may be utilized in the system. The pattern projection portion includes a pattern component with a pattern. At least a majority of the area of the pattern includes pattern portions that are not recurring at regular intervals across the pattern (e.g., as corresponding to a diverse spectrum of spatial frequencies that result in a relatively flat power spectrum over a desired range and with which different lenses with different cutoff frequencies may be utilized). The pattern is projected on a workpiece surface (e.g., for producing contrast) and an image stack is acquired, from which focus curve data is determined that indicates 3 dimensional positions of workpiece surface points.

An apparatus for reading an image executes operations including receiving a plurality of images for a same subject from a photographing device, obtaining a screen division value related to the plurality of images, checking focused sections of the plurality of images based on the obtained screen division value, and determining type of the plurality of images based on a result of checking the focused sections. According to the apparatus, it can be determined whether an image is actually photographed without a separate ToF module.

An imaging system includes an imaging device having a holder configured to hold a cell culture plate with a plurality of wells. The imaging device also includes an imaging assembly having a plurality of imaging units, each of which is configured to image one well of the plurality of wells. The imaging system also includes a storage platform in communication with the imaging device configured to receive a plurality of images from the imaging device. The system further includes a computer in communication with the imaging device and the storage platform. The computer is configured to control the imaging device and to display at least one image of the plurality of images.

An image generation device includes: a detection unit 43 that performs processing of detecting a specific feature from a plurality of focus images which include an observation target and are in different focus states; a determination unit 44 that determines a parameter indicating a degree of application of a region image to a combination region image in a case where the combination region image is generated from the region image, for each set of the region images in a plurality of corresponding regions respectively corresponding to the plurality of focus images, based on the specific feature detected by the detection unit 43; and a generation unit 45 that generates the combination region image by combining the region images for each of the plurality of corresponding regions based on the parameter determined by the determination unit 44.

Apparatus and methods for detecting an object in an image. One aspect of the method includes receiving a first image from an image sensor. The first image is obtained by the image sensor using a first focal length. A second image is received from the image sensor. The second image is obtained by the image sensor using a second focal length. One or more objects are detected in the first image and the second image. The one or more objects detected in the first image are combined with the one or more objects detected in the second image.

An imaging device (100) includes: an imaging element (112) including a pixel capable of detecting a depth; an image processing unit (120) configured to detect a depth using a signal obtained from the pixel and perform processing based on the depth; and a correction data generation unit (130) configured to generate, based on the signal, a correction map for correcting image height dependency of the depth in the image processing unit (120).

An image processing method, an electronic device, and a computer-readable storage medium are provided. The method includes: obtaining N images; determining a reference image in the N images; where the reference image is an image in which a target tilt-shift object has a sharpness greater than a preset threshold; obtaining tilt-shift parameters input by a user, where the tilt-shift parameters are used to indicate an azimuth of a target focal plane and a tilt-shift area range; determining, based on the tilt-shift parameters, to-be-composited image(s) in intersection with the target focal plane; and performing, based on focal lengths of the to-be-composited image(s) and the reference image, image composite on the N images to output a target tilt-shift image.

The present disclosure relates to a method of performing, by an image processing circuit, an inference operation comprising: capturing first and second images using first and second values respectively of an image capture parameter; generating, for a first region of the first and second images, first and second estimates respectively of an image quality metric, wherein the image quality metric is dependent on the value of the image capture parameter; calculating first and second distances between the first and second estimates respectively and first and second target levels respectively; and supplying a result of the inference operation performed on the first region of either the first or second image selected based on the first and second distances.

Apparatuses, systems, and methods dynamically model intrinsic parameters of a camera. Methods include: collecting, using a camera having a focus motor, calibration data at a series of discrete focus motor positions; generating, from the calibration data, a set of constant point intrinsic parameters; determining, from the set of constant point intrinsic parameters, a subset of intrinsic parameters to model dynamically; performing, for each intrinsic parameter of the subset of intrinsic parameters, a fit of the point intrinsic parameter values against focus motor positions; generating a model of the intrinsic parameters for the camera based, at least in part, on the fit of the point intrinsic parameter values against the focus motor positions; and determining a position of a fiducial marker within a field of view of the camera based, at least in part, on the model of the intrinsic parameters for the camera.

Methods and systems for capturing a three dimensional image are described. An image capture process is performed while moving a lens to capture image data across a range of focal depths, and a three dimensional image reconstruction process generates a three dimensional image based on the image data. A two-dimensional image is also rendered including focused image data from across the range of focal depths. The two dimensional image and the three dimensional image are fused to generate a focused three dimensional model.