Fusion of sensor data and synthetic data to form an integrated image
AssigneeHoneywell International Inc.
InventorsRida M. Hamza, Thea L. Feyereisen
Life of this patent
Estimating the term…
Abstract
A system and method for fusing sensor data and synthetic data to form an integrated image are described. An image registration process is used to fuse the images. The image registration process is performed on gradients of a landmark image. The gradients are extracted from both sensor and synthetic datasets for the landmark image. Using the image gradient, a center of mass for each of the gradient's curves is calculated. By solving a minimization problem to reduce error, a desired transformation operator can be obtained to match the sensor image to the synthetic image.
Claims16
A fusion method for combining sensor data with synthetic data to form an integrated image, comprising in combination:
- identifying at least two landmarks;
- extracting an image gradient from a sensor image dataset for only each of the at least two landmarks;
- extracting a corresponding image gradient from a synthetic image dataset for only each of the at least two landmarks, the synthetic image dataset representative of a three-dimensional synthetic image;
- calculating a center of mass for each of the image gradients extracted from the sensor and synthetic image datasets;
- calculating displacement between corresponding image gradients from the sensor and synthetic image datasets centered at the calculated centers of mass;
- and
- stabilizing images by minimizing the displacement to form the integrated image.
A fusion method for combining sensor data with synthetic data to form an integrated image, comprising in combination:
- identifying at least two landmarks;
- extracting an image gradient from a sensor image dataset for only each of the at least two landmarks;
- reading a corresponding image synthetic edge from a synthetic image dataset for only each of the at least two landmarks, the synthetic image dataset representative of a three-dimensional synthetic image;
- calculating a center of mass for each of the extracted image gradients and corresponding synthetic edges;
- calculating displacement between corresponding image gradients and synthetic edges centered at the calculated centers of mass;
- and
- stabilizing images by minimizing the displacement to form the integrated image.
Dependencies are inferred from the claim text.