A method includes: receiving a recycled wood workpiece populated with a set of metal fasteners; accessing an internal imaging scan; detecting the set of metal fasteners embedded in the recycled wood workpiece based on internal features detected in the internal imaging scan; for each metal fastener in the set of metal fasteners, extracting an initial position and an initial orientation of the metal fastener from the internal imaging scan; generating a virtual model of the recycled wood workpiece based on the internal imaging scan; accessing an image captured by an optical sensor; detecting a first metal fastener in the recycled wood workpiece; deriving a first position and a first orientation of the first metal fastener; and, in response to identifying the first metal fastener analogous to an initial metal fastener in the virtual model, isolating the first metal fastener in the virtual model and generating a fastener removal schedule.

Disclosed is a method of computer-based small particle measurement for drug formulation in which digital microscopy images of the small particles used for drug formulation are created by an image sensor and provided to a computer performing a measurement software. The software segments the small particles in the digital microscopy images and calculates properties thereof, according to specific parameter sets. The software samples different candidate parameter sets, applies them automatically for the segmentation and/or calculation process, and shows the results via a display to a user. The user picks the a candidate parameter set with the best results, and the software establishes and trains an internal machine learning model with this user feedback. The software then applies the trained model to reiterate the automatic segmentation and/or calculation and user feedback obtaining process until an optimal parameter set is approved by the user.

A multisource volumetric spectral computed tomography imaging device includes an x-ray source array with multiple spatially distributed x-ray focal spots, an x-ray beam collimator with an array of apertures, each confining the radiation from a corresponding x-ray focal spot to illuminate a corresponding segment of an object, a digital area x-ray detector, and a gantry to rotate the x-ray source array and the detector around the object. An electronic control unit activates the radiations from the x-ray focal spots to scan the object multiple times as the gantry rotates around the object. The images are used to reconstruct a volumetric CT image of the object with reduced scattered radiation. For dual energy and multi energy imaging, radiation from each focal spot is filtered by a corresponding spectral filter to optimize its energy spectrum.

In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Example industrial radiography systems allow for generation of higher resolution 2D radiographs using an accelerated higher resolution radiograph process. The accelerated higher resolution radiograph process uses pixel (e.g., grayscale) values from one or more lower resolution 2D radiographs to set pixel values for a first portion of higher resolution radiograph pixels of a higher resolution 2D radiograph. The remaining portion of the higher resolution radiograph pixels are set based on an analysis of the first portion. The accelerated higher resolution radiograph process is faster than more traditional processes because the accelerated higher resolution radiograph process necessitates fewer lower resolution radiographs be captured, and therefore saves time and/or lower wear and tear on the radiography machine, while still providing quality higher resolution 2D radiographs.