Knowledge-based hierarchical method for detecting regions of interest
AssigneeGeneral Dynamics C4 Systems, Inc.
InventorsGlen P. Abousleman, Huibao Lin, Jennie Si
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AssigneeGeneral Dynamics C4 Systems, Inc.
InventorsGlen P. Abousleman, Huibao Lin, Jennie Si
Estimating the term…
A knowledge-based hierarchical method for detecting regions of interests (ROIs) uses prior knowledge of the targets and the image resolution in detecting ROIs. The result produces ROIs that contain only one target that is completely enclosed within the ROI. The detected ROI can conform to the shape of the target even if the target is of irregular shape. Furthermore, the method works well with images that contain connected targets or targets broken into pieces. The method is not sensitive to contrast levels and is robust to noise. Thus, this method effectively detects ROIs in common real world imagery that has a low resolution without costly processing while providing fast and robust results.
A method for detecting a region of interest in an image, comprising the steps of:
A method for detecting a region of interest in an image containing objects, comprising the steps of:
The method of 13 further comprising the step of performing probability assignments on each region of interest to modify the region of interest to conform to the shape of the object.
Dependencies are inferred from the claim text.