The Boeing Company

Caleb G Price

Jeffrey H Hunt

Wesley Frank Eder

A computer vision method performed by a computing system includes: receiving an image; identifying a light intensity value for each pixel of a set of pixels of the image; defining a light intensity band formed by an upper light intensity threshold and a lower light intensity threshold based on a light intensity distribution of the light intensity values of the set of pixels; for each pixel of the set of pixels, identifying whether that pixel has a light intensity value that is within the light intensity band or outside of the intensity band; and generating a modified image by increasing a light intensity contrast between a first subset of pixels identified as having light intensity values within the light intensity band and a second subset of pixels identified as having light intensity values outside of the light intensity band.

Intensity thresholding-based image modification for computer vision

A computer vision method and computer vision system can be used to process a time-based series of images. For a subject image of the time-based series, a light intensity value is identified for each pixel of a set of pixels of the subject image. A light intensity threshold is defined for the subject image based on a size of a bounding region for an object detected within a previous image of the time-based series captured before the subject image. A modified image is generated for the subject image by one or both of: reducing the light intensity value of each pixel of a lower intensity subset of pixels of the subject image that is less than the light intensity threshold, and increasing the light intensity value of each pixel of a higher intensity subset of pixels of the subject image that is greater than the light intensity threshold.

Intensity-based image modification for computer vision

A method for aerial vehicle component networking comprises, for a network-accessible avionics component onboard an aerial vehicle, instantiating a data stream object that specifies a network socket for communication between the network-accessible avionics component and a plurality of other network-accessible aerial vehicle components. A set of outgoing data is defined for transmission over the network socket to one or more onboard unicast aerial vehicle component subscribers of the plurality of other network-accessible aerial vehicle components and two or more onboard or offboard multicast aerial vehicle component subscribers of the plurality of other network-accessible aerial vehicle components. The outgoing data is published to the one or more onboard unicast aerial vehicle component subscribers over the network socket via unicast communication. The outgoing data is published to the two or more onboard or offboard multicast aerial vehicle component subscribers over the network socket via multicast communication.

Data stream object for device networking

An image analyzer is configured to use an image processing technique to detect coordinates of a region of a first image frame that matches a target template and update the target template by copying a portion of the first image frame corresponding to the coordinates and a first size. The image analyzer is also configured to receive a second image frame and generate a plurality of pixel match counts based on a comparison of the target template with a plurality of regions of the first size of the second image frame. The image analyzer is further configured to determine that a region of the second image frame matches the target template based on a pixel match count of the second region. The image analyzer is configured to generate an output indicating coordinates of the region of the second image frame.

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Shiloh, IL, United States of America

Caleb G Price