System or method for segmenting images
First Claim
1. A method for segmenting a target image from an ambient image, comprising:
- categorizing the ambient image into a plurality image regions on the basis of image constancy; and
combining a subset of the image regions together into the target image in accordance with a predefined combination heuristic.
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Abstract
The disclosed system identifies the images of particular objects or organisms (“segmented image” or “target image”) from images that include the segmented image and the surrounding area (collectively, the “ambient image”). Instead of attempting to merely segment the target image from the ambient image, the system purposely “over-segments” the ambient image into various image regions. Those image regions are then selectively combined into the segmented image using a predefined heuristic that incorporates logic relating to the particular context of the processed image. In some embodiments, different combinations of image regions are evaluated on the basis of probability-weighted classifications.
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Citations
41 Claims
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1. A method for segmenting a target image from an ambient image, comprising:
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categorizing the ambient image into a plurality image regions on the basis of image constancy; and combining a subset of the image regions together into the target image in accordance with a predefined combination heuristic. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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21. A method for segmenting a target image from an ambient image in a sequence of images, comprising:
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identifying areas of interest in the ambient image; estimating parameters representing image constancy for the areas of interest; selectively grouping pixels in the areas of interest into image regions on the basis of the estimated parameters representing image constancy; defining the relative locations of the image regions; and selectively combining image regions together into the target image. - View Dependent Claims (22, 23, 24, 25)
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26. An image processing system for use with the safety restraint application of a vehicle, comprising:
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a segmentation subsystem, including an ambient image, and a plurality of image regions, wherein said segmentation subsystem provides for the identification of said plurality of image regions from said ambient image; and a classification subsystem, including a segmented image, wherein said segmentation subsystem provides for the selective combination of a subset of image regions into said segmented image. - View Dependent Claims (27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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Specification