An improved method and apparatus for enhancing an inspection image in a charged-particle beam inspection system. An improved method for enhancing an inspection image comprises acquiring a first image and a second image of multiple stacked layers of a sample that are taken with a first focal point and a second focal point, respectively, associating a first segment of the first image with a first layer among the multiple stacked layers and associating a second segment of the second image with a second layer among the multiple stacked layers, updating the first segment based on a first reference image corresponding to the first layer and updating the second segment based on a second reference image corresponding to the second layer, and combining the updated first segment and the updated second segment to generate a combined image including the first layer and the second layer.

Examples of the disclosure describe systems and methods for identifying, quantifying, and/or characterizing plant stomata. In an example method, a first set of two or more images of a plant leaf representing two or more focal distances is captured via an optical sensor. A reference focal distance is determined based on the first set of images. A second set of two or more images of the plant leaf is captured via the optical sensor, including at least one image captured at a focal distance less than the reference focal distance, and at least one image captured at a focal distance greater than the reference focal distance. A composite image is generated based on the second set of images. The composite image is provided to a trainable feature detector in order to determine a number, density, and/or distribution of stomata in the composite image.

Wafer-to-wafer and within-wafer image contrast variations can be identified and mitigated by extracting an image frame during recipe setup and then during runtime at the same location. Image contrast is determined for the two image frames. A ratio of the contrast for the two image frames can be used to determine contrast variations and focus variation.

A control method for an electronic apparatus includes tracking a tracking target included in an image, moving a tracking start position, starting tracking of the tracking target from the tracking start position, stopping tracking of the tracking target, controlling first processing for, at the stopping of tracking, setting the tracking start position to a position at which the tracking target has been tracked until immediately before the stopping of tracking and second processing for, at the stopping of tracking, setting the tracking start position to a previously determined tracking start position, and selecting one of the first processing and the second processing according to a state obtained at the stopping of tracking and performing the selected first or second processing.

A camera system comprising a body that contains a lens with a range of focus settings and an image sensor operable to record an image. The camera system has a controller operably connected to the sensor to receive the image, and the controller is operably connected to the lens to control the focus setting. The controller is operable to focus the lens on a selected point, and the controller is operable to determine at least two different first and second subject elements. The controller is operable to focus the lens on the first subject and record a first image, and the controller is operable to focus the lens on the second subject and record a second image.

For analyzing a sample containing particles of at least two categories, such as a sample containing blood cells, a particle counter subject to a detection limit is coupled with an analyzer capable of discerning particle number ratios, such as a visual analyzer, and a processor. A first category of particles can be present beyond detection range limits while a second category of particles is present within respective detection range limits. The concentration of the second category of particles is determined by the particle counter. A ratio of counts of the first category to the second category is determined on the analyzer. The concentration of particles in the first category is calculated on the processor based on the ratio and the count or concentration of particles in the second category.

In general, techniques are described regarding fusing or combining frames of image data to generate composite frames of image data. Cameras comprising camera processors configured to perform the techniques are also disclosed. A camera processor may capture multiple frames at various focal lengths. The frames of image data may have various regions of the respective frame in focus, whereas other regions of the respective frame may not be in focus, due to particular configurations of lens and sensor combinations used. The camera processor may combine the frames to achieve a single composite frame having both a first region (e.g., a center region) and a second region (e.g., an outer region) in focus.

A mobile terminal to be carried by a user of a vehicle acquires a captured image of the vehicle, acquires distance information on a distance to the vehicle based on the captured image, determines whether the distance to the vehicle is within a predetermined allowable distance based on the distance information, and transmits an operation signal corresponding to an operation content input by a user to the vehicle when the distance to the vehicle is determined to be within the allowable distance.

A method, system, and computer program product for determining a core-to-ferrule offset of a ferrule for a fiber optic connector. A reference ferrule is physically aligned with a core imager by positioning the reference ferrule so that edges of the reference ferrule in a plurality of profile images are aligned with fiducial markers in the images. The reference ferrule is incrementally rotated about its longitudinal center access, a core image captured at each rotational angle, and a reference core-to-ferrule offset determined based on the core images. A test ferrule is physically aligned with the core imager by positioning the test ferrule so that edges of the test ferule are aligned with the edges of the reference ferrule in a plurality of profile images. The core-to-ferrule offset of the test ferrule is then determined based on an offset between the test and reference cores in a composite core image.

A stored volumetric scene model of a real scene is generated from data defining digital images of a light field in a real scene containing different types of media. The digital images have been formed by a camera from opposingly directed poses and each digital image contains image data elements defined by stored data representing light field flux received by light sensing detectors in the camera. The digital images are processed by a scene reconstruction engine to form a digital volumetric scene model representing the real scene. The volumetric scene model (i) contains volumetric data elements defined by stored data representing one or more media characteristics and (ii) contains solid angle data elements defined by stored data representing the flux of the light field. Adjacent volumetric data elements form corridors, at least one of the volumetric data elements in at least one corridor represents media that is partially light transmissive. The constructed digital volumetric scene model data is stored in a digital data memory for subsequent uses and applications.