System or method for identifying a region-of-interest in an image
First Claim
1. A method for identifying a region-of-interest in an ambient image, comprising:
- establishing a template image;
performing a de-correlation heuristic on the ambient image and the template image to obtain an initial segmented image;
invoking a watershed heuristic on the initial segmented image; and
generating a revised segmented image after invoking the watershed heuristic.
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Abstract
The disclosed segmentation method and system (collectively “system”) identifies a region-of-interest within an ambient image captured by a sensor. The ambient image includes the target image (the “segmented image” of the target), as well as the area surrounding the target. The disclosed system purposely “under-segments” the ambient image, and the process is typically followed by a subsequent segmentation process to remove the portions of the region-of-interest image that do not represent the segmented image. The system compares the ambient image captured by the sensor with a template ambient image without a target to assist in identifying the region-of-interest. They system performs a watershed heuristic to further remove portions of the ambient image from the region-of-interest. In a safety restraint embodiment of the system, the region-of-interest can be used by the safety restrain application to determine the classification of the vehicle occupant, and motion characteristics relating to the occupant.
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Citations
24 Claims
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1. A method for identifying a region-of-interest in an ambient image, comprising:
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establishing a template image;
performing a de-correlation heuristic on the ambient image and the template image to obtain an initial segmented image;
invoking a watershed heuristic on the initial segmented image; and
generating a revised segmented image after invoking the watershed heuristic. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A image segmentation system, comprising:
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a de-correlation subsystem, said de-correlation subsystem providing for a gradient map, a de-correlation map, a threshold map, an input image, and an interim image;
wherein said de-correlation subsystem provides for the creation of said gradient map from said input image;
wherein said de-correlation subsystem is configured to generate a de-correlation map from said gradient map;
wherein said de-correlation subsystem is configured to calculate a threshold map from said de-correlation map;
wherein said de-correlation subsystem selectively identifies said interim image from said threshold map;
a watershed subsystem, said watershed subsystem providing for a marker, a contour, a marker map, and a region-of-interest image;
wherein said watershed subsystem provides for the creation of said marker and said contour from said interim image;
wherein said watershed subsystem is configured to update said marker map with said marker and said contour; and
wherein said watershed subsystem selectively identifies said region-of-interest image with said marker map. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20)
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21. An automated vehicle safety restraint system, comprising:
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a sensor, said sensor providing for the capture of an ambient image;
an airbag deployment mechanism, said airbag deployment mechanism configured for the receipt of a deployment decision; and
a computer, said computer providing for the receipt of said ambient image and the identification of a region-of-interest image from said ambient image, and wherein said computer is configured to create said deployment decision using said region-of-interest image. - View Dependent Claims (22, 23, 24)
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Specification