Method and apparatus for low depth of field image segmentation
First Claim
Patent Images
1. A method for partitioning image data, comprising:
- defining an image feature space based upon frequency information;
filtering image data of the image feature space with morphological tools;
assigning a region of the filtered image feature space as an initial object of interest;
identifying a boundary of the initial object of interest of the filtered image feature space; and
determining a size of the initial object of interest relative to an image data size.
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Abstract
A method for extracting an object of interest from an image is provided. The method initiates with defining an image feature space based upon frequency information. Then, the image feature space is filtered to smooth both focused regions and defocused regions while maintaining respective boundaries associated with the focused regions and the defocused regions. The filtered image feature space is manipulated by region merging and adaptive thresholding to extract an object-of-interest. A computer readable media, an image capture device and an image searching system are also provided.
68 Citations
36 Claims
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1. A method for partitioning image data, comprising:
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defining an image feature space based upon frequency information;
filtering image data of the image feature space with morphological tools;
assigning a region of the filtered image feature space as an initial object of interest;
identifying a boundary of the initial object of interest of the filtered image feature space; and
determining a size of the initial object of interest relative to an image data size. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A method of image segmentation, comprising:
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generating a higher order statistic (HOS) map from image data;
modifying the HOS map;
determining a boundary associated with a focused region of the modified HOS map; and
determining a final segmentation of the focused region based upon a size of a value associated with the focused region relative to an image data size. - View Dependent Claims (9, 10, 11, 12, 13, 14, 15)
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16. A method for extracting an object of interest from an image, comprising:
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defining an image feature space based upon frequency information; and
filtering the image feature space to smooth both focused regions and defocused regions while maintaining respective boundaries associated with the focused regions and the defocused regions. - View Dependent Claims (17, 18, 19)
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20. A computer readable medium having program instructions for image segmentation, comprising:
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program instructions for generating a higher order statistic (HOS) map from image data;
program instructions for modifying the HOS map;
program instructions for determining a boundary associated with a focused region of the modified HOS map; and
program instructions for determining a final segmentation of the focused region based upon a size of a value associated with the focused region relative to an image data size. - View Dependent Claims (21, 22, 23, 24, 25)
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26. An image capture device, comprising:
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a lens configured to focus objects within a depth of field (DOF);
an image recording assembly configured to generate a digital image including the objects within the DOF from image information received through the lens;
the image recording assembly capable of generating a higher order statistic (HOS) map of the digital image in order to extract the objects within the DOF from the digital image. - View Dependent Claims (27, 28, 29, 30)
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31. An image searching system, comprising:
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an image capture device having a lens configured to focus objects within a depth of field (DOF);
an image extraction assembly in communication with the image capture device, the image extraction assembly configured to extract the objects within the DOF; and
an image content retrieval system in communication with the image extraction assembly, the image content retrieval system configured to receive data corresponding to the objects within the DOF, the image content retrieval system further configured to identify a match between the received data and gathered image data. - View Dependent Claims (32, 33, 34, 35, 36)
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Specification