Techniques for determining a degraded state associated with a sensor are discussed herein. For example, a sensor associated with vehicle may captured data of an environment. A portion of the data may represent a portion of the vehicle. Data associated with a region of interest can be determined based on a calibration associated with the sensor. For example, in the context of image data, image coordinates may be used to determine a region of interest, while in the context of lidar data, a beam and/or azimuth can be used to determine a region of interest. A data metric can be determined for data in the region of interest, and an action can be determined based on the data metric. For example, the action can include cleaning a sensor, scheduling maintenance, reducing a confidence associated with the data, or slowing or stopping the vehicle.

A system for monitoring alignment of a second component relative to a first component includes a camera, and a controller including a processor and a nontransitory memory. The controller is configured to receive a first captured image from the camera when the second component is in a predetermined position relative to the first component, receive a selection of a region of interest (ROI) in the first captured image, identify a visible feature of the second component within the ROI of the first captured image, receive captured images from the camera during a subsequent operation, identify a second captured image when the second component is expected to be in the predetermined position relative to the first component, and determine if the second component is in the predetermined position relative to the first component based on the second captured image and the identified visible feature of the first captured image.

A matrix barcode on a surface may comprise a plurality of colors and an infrared layer. The matrix barcode may be a fiducial marker for conveying spatial information. The conveyed spatial information may stem at least in part from the infrared layer.

In some embodiments, a method for processing inspection data associated with cargo irradiated by a plurality N of pulses of inspection is provided. The method includes obtaining the inspection data, the inspection data being representative of intensity values of pixels of an inspection image of the including data associated with a higher energy mode, and data associated with a lower energy mode; generating a histogram having, as a first axis, bins corresponding to pixel intensity values HM associated with the higher energy mode and, as a second axis, bins corresponding to pixel intensity values LM associated with the lower energy mode; selecting a bin corresponding to a most frequent bin of the pixel intensity values HM; and generating a transformation table by mapping each bin of the pixel intensity values LM with the selected bin of the pixel intensity values HM.

Disclosed are methods and systems for processing medical image data. The method comprising inputting, with one or more processors of one or more computation devices, medical image data into a model for nodule detection; calculating, for at least one nodule detected by the model for nodule detection, a nodule histogram of all voxel intensities of said nodule; determining, from each nodule histogram, a nodule classification among a plurality of nodule classifications for the at least one nodule.

The disclosure relates, in part, to computer-based visualization of stent position within a blood vessel. A stent can be visualized using intravascular data and subsequently displayed as stent struts or portions of a stent as a part of a one or more graphic user interface(s) (GUI). In one embodiment, the method includes steps to distinguish stented region(s) from background noise using an amalgamation of angular stent strut information for a given neighborhood of frames. The GUI can include views of a blood vessel generated using distance measurements and demarcating the actual stented region(s), which provides visualization of the stented region. The disclosure also relates to display of intravascular diagnostic information such as indicators. An indicator can be generated and displayed with images generated using an intravascular data collection system. The indicators can include one or more viewable graphical elements suitable for indicating diagnostic information such as stent information.

Embodiments of the present disclosure relate to a method and apparatus for determining a text color. The method may include: determining, in response to detecting a text frame on canvas, a subimage corresponding to the text frame from the canvas; acquiring color values of pixels in the subimage, to determine an average color value of the subimage; determining an average luminance value of the subimage based on the average color value of the subimage; and determining a color of text to be inputted into the text frame based on the average luminance value of the subimage.

Various embodiments of systems and methods for adaptive video subsampling for energy-efficient object detection are disclosed herein.

The present specification relates to a method for enabling an operator to perform visual layer separation, the method including: retrieving at least one X-ray scan image from a memory in data communication with an inspection system, wherein the image comprises a first area of pixels representative of a target object obscured by a clutter object and a second area of pixels representative of the clutter object; receiving a selection of the pixels representative of the first area; receiving a selection of the pixels representative of the second area; determining if the selected second area meets a predefined quality threshold; if the selected second area meets the predefined quality threshold, generating a modified at least one X-ray image; and if the selected second area does not meet the predefined quality threshold, prompting the operator to select a different second area of pixels representative of the clutter object.

Systems and methods are provided for image classification using histograms of oriented gradients (HoG) in conjunction with a trainer. The efficiency of the process is greatly increased by first establishing a bitmap which identifies a subset of the pixels in the HoG window as including relevant foreground information, and limiting the HoG calculation and comparison process to only the pixels included in the bitmap.