Provided is a slicing 2D data-based pattern application method for generating an output code in which the inside of a model is filled with a pattern, so as to reduce a binder usage amount and maintain a strength and a shape in sand binder jetting additive manufacturing. A slicing 2D data-based pattern application method according to an embodiment of the present invention comprises the steps of: generating 2D data by slicing an output model; generating an inner pattern in at least one of layers forming an output model in consideration of the set thickness of the layers and the outer thickness thereof and generating an output code by applying the generated inner pattern. Therefore, the cost of producing an additive manufacturing output can be reduced by reducing the binder usage amount through the application of the inner pattern. In addition, reducing the binder usage amount enables a mold to be destroyed with less force than conventionally used, can increase the proportion of molding sand reuse by reducing the binder usage amount, and can reduce recovery treatment costs of the molding sand. Furthermore, casting defects due to increased ventilation can be reduced.

A two-stage medical image registration method based on progressive images (PIs) to solve the technical problem of low registration accuracy of traditional image registration methods includes: merging a reference image with a floating image to generate multiple intermediate PIs; registering, by a speeded-up robust features (SURF) algorithm and an affine transformation, the floating image with the intermediate PIs to acquire coarse registration results; registering, by the SURF algorithm and the affine transformation, the reference image with the coarse registration results to acquire fine registration results; and comparing the fine registration results of the intermediate PIs, which are acquired by iteration, and selecting an optimal registration result as a final registration image. The method can achieve multimodal registration for brain imaging with MI, NCC, MSD, and NMI superior to those of the existing registration algorithms. The method effectively improves the registration accuracy through the progressive medical image registration strategy.

A method for processing a stream of input images is described. A stream of input images that are from an image sensor is received. The stream comprises an initial sequence of input images including a subject having an initial orientation. A change in an angular orientation of the image sensor while receiving the stream of input images is determined. In response to determining the change in the angular orientation, a subsequent sequence of input images of the stream of input images is processed for rotation to counteract the change in the angular orientation of the image sensor and maintain the subject in the initial orientation. The stream of input images is transmitted to one or more display devices.

Registration of a patterned flow cell may utilize fiducials comprising sets or groupings of features (e.g., sites, sample wells, nanowells) having known locations and in which the placement of the features is not in accordance with a periodic pattern or is otherwise distinguishable from the periodic pattern of sites present in non-fiducial regions of the flow cell substrate. In certain embodiments the positioning of the sites that are part of the fiducial represent a break or discontinuity in the periodic pattern of sites that are otherwise present on the surface of a patterned flow cell.

An image processing method for receiving M lens images and generating a projection image is disclosed. The method comprises: determining P optimal warping coefficients of P control regions in the projection image according to a 2D error table and the M lens images from an image capture module; generating M projection images according to the M lens images, a first vertex list and the P optimal warping coefficients; determining a seam for each of N seam regions; and, stitching two overlapping seam images to generate a stitched seam image for each seam region according to its corresponding seam. The 2D error table comprises multiple test warping coefficients and multiple accumulation pixel value differences in the P control regions. The P control regions are respectively located in the N seam regions respectively located in N overlap regions, where M>=2, N>=1 and P>=3.

Systems and methods are provided for point cloud processing with an equivariant neural network and implicit shape learning that may produce correspondence-free registration. The systems and methods may provide for feature space preservation with the same rotation operation as a Euclidean input space, due to the equivariance property, which may provide for solving the feature-space registration in a closed form.

An electronic device may include an electronic display to display an image based on compensated image data in a panel space. The electronic device may also include image processing circuitry to generate the compensated image data. Further, generating the compensated image data may include determining a first inverse mapping of a pixel grid from the panel space to a rendering space and determining a forward mapping of the pixel grid from the rendering space to the panel space based on the first inverse mapping. The forward mapping may include corrections for multiple different warp operations stacked in a single warp operation. Additionally, the image processing circuitry may apply the forward mapping to input image data to generate the compensated image data.

An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to determine a hierarchical grid having multiple grid points divided into grid partitions. A first set of grid points associated with a first set of grid partitions may include a first set of mappings to corresponding coordinates of input image data in a source frame. The image processing circuitry may also interpolate between the first set of grid points to determine a second set of grid points of having a second set of mappings to corresponding coordinates of the input image data based on the first set of mappings. The image processing circuitry may also generate the processed image data by applying the first set of mappings and the second set of mappings to the input image data.

An electronic device may include an electronic display to display an image based on processed image data. The electronic device may also include image processing circuitry to generate the processed image data. The image processing circuitry may receive input image data corresponding to an image in a first perspective and warp the input image data from the first perspective to a second perspective, generating warped image data. Additionally, the image processing circuitry may determine one or more occluded regions in the second perspective and determine fill-data corresponding to the occluded regions. The processed image data may be generated by combining the warped image data and the fill-data.

Information about a drug-containing vessel is determined by capturing image data of the curved surface of a cylindrical portion of a drug-containing vessel. The image data is unfurled from around the curved surface, binarised, and a template matching algorithm employed to determine that the label information comprises candidate information about the vessel and/or the drug.