Disclosed are image based counting systems and methods. Image based counting systems and methods employ one or more imaging devices (e.g., one or more color cameras) and one or more illumination devices (e.g., one or more illumination sources to provide variable and/or dynamic lighting). In some examples, the image based counting system provides illumination to a tray upon which one or more items (e.g., pills) are placed. The illuminated items are then imaged by the one or more imaging devices based on one or more imaging techniques or processes to determine and/or present information associated with one or more properties of the item.

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.

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.

An x-ray imaging system data acquisition and image reconstruction system and method are disclosed which enable optimizing the image parameters based on multiple tomographic volumes of the sample that have been captured using an x-ray microscopy system. This enables the operator to control the image contrast, for example, of selected slices, and apply the information associated with optimizing the contrast of the selected slice to all slices in two or more tomographic volume data sets. This creates a combined volume with optimized image contrast throughout. Also, the system enables navigation within the volumes through functional annotation, improvements in volume registration and improvements in noise suppression both within the volumes and within slice histograms of the sample.

To make it possible to highly accurately specify a contour even with simple operation and further improve accuracy of a defect inspection. A plurality of edge detection regions are set on an image for inspection. A contour segment is formed in each of the edge detection regions. Connection processing for connecting an end portion of one contour segment and an end portion of another contour segment is repeatedly executed to form a closed region. A defect inspection of an inspection target object is executed with the closed region set as an inspection target region.

Locating morphology in a tissue sample is achieved with devices and methods involving storage of a plurality of feature vectors, each associated with a specific named superpixel of a larger image of a tissue sample from a mammalian body. A microscope outputs, in some embodiments, a live image of an additional tissue sample or a digitized version of the output is used. At least one superpixel of the image is converted into a feature vector and a nearest match between the first feature vector and the plurality of stored feature vectors is made. A first name suggestion is then made based on the nearest match comparison to a store feature vector. Further, regions of interest within the image can be brought to a viewer's attention based on their past history of selection, or that of others.

Asynchronous information is provided by a sensor having a matrix of pixels disposed opposite the scene. The asynchronous information includes, for each pixel of the matrix, successive events originating from this pixel, that may depend on variations of light in the scene. A model representing the tracked shape of an object is updated after detecting events attributed to this object in the asynchronous information. Following detection, the updating of the model includes an association of a point of the model with the event detected by minimizing a criterion of distance with respect to the pixel of the matrix from which the detected event originates. The updated model is then determined as a function of the pixel of the matrix from which the detected event originates and attributed to the object and of the associated point in the model, independently of the associations performed before the detection of this event.

Embodiments of methods and/or apparatus for a radiographic imaging can include a plurality of x-ray sources disposed in a curve and a detector configured to revolve relative thereto. In one embodiment, a CBCT imaging method and/or apparatus can include performing a first scan at a first speed using stationary angularly distributed x-ray sources to acquire first CBCT projection data that impinge a detector of a first field of view (FOV), identifying an area of interest within the first FOV, and performing a second scan at a second speed using the x-ray sources acquire second CBCT projection data that impinge a portion of the detector of a second smaller FOV including the area of interest within the first FOV using second emissions by the x-ray sources, where the second speed is greater than the first speed.

Provided is a runway illumination light inspection apparatus that requires the minimum amount of data and can determine whether or not an illumination light is abnormal in a short time period. The runway illumination light inspection apparatus includes: an illumination light detection unit (11); an image capturing unit (12); and a determination unit (13). The illumination light detection unit (11) detects an illumination light (21) embedded in a runway (20), the image capturing unit (12) captures, when the illumination light detection unit (11) has detected the illumination light (21), an image of the illumination light (21), and the determination unit (13) determines whether or not the illumination light (21) is abnormal, based on the captured image of the illumination light (21).

A method for inspecting the surface finish of a cast part made of single-crystal metal, the surface of the part potentially containing defects resulting from an inhomogeneity of orientation of at least a crystal lattice of the single-crystal metal, the method including acquiring, using an image-acquiring device, a series of images of the cast part illuminated by a polarized and collimated illuminating device, then analysing the series of images by an image-processing device, each image of the series of images being taken at a different polarization angle.