Methods and systems for complexity-based segmentation refinement
First Claim
Patent Images
1. A method for processing of a digital image, said method comprising:
- a) performing an initial segmentation process on a non-object-based image data set;
b) estimating a complexity measure for said image data set based on the results of said initial segmentation process; and
c) performing a refined segmentation process on said image data set when said complexity measure meets a criterion.
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Abstract
Embodiments of the present invention comprise methods and systems for image complexity estimation and selective complexity-based image processing.
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Citations
31 Claims
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1. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation process on a non-object-based image data set;
b) estimating a complexity measure for said image data set based on the results of said initial segmentation process; and
c) performing a refined segmentation process on said image data set when said complexity measure meets a criterion. - View Dependent Claims (2, 3, 4, 5)
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6. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation process on an image;
b) obtaining process performance data for a refined segmentation process wherein said performance data relates to image complexity;
c) estimating a complexity measure for said image based on the results of said initial segmentation process and said performance data; and
d) performing said refined segmentation process when said complexity measure meets a criterion. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation on a non-object-based image data set;
b) obtaining process performance data for a refined segmentation process wherein said performance data relates to image complexity;
c) estimating a complexity measure for said image data set based on the results of said initial segmentation and said performance data;
d) performing said refined segmentation process and performing segmentation-based image enhancement using a result of said refined segmentation process when said complexity measure meets a criterion. - View Dependent Claims (13, 14, 15)
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16. An apparatus for processing a digital image, said apparatus comprising:
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a) an initial segmentation processor for performing an initial segmentation process on non-object-based data representing an image;
b) an estimator for estimating a complexity measure for said image based on the results of said initial segmentation; and
c) a refined segmentation processor for performing a refined segmentation process when said complexity measure meets a criterion. - View Dependent Claims (17, 18)
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19. An apparatus for selectively processing a digital image, said apparatus comprising:
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a) an initial segmentation processor for performing an initial segmentation process on an image;
b) process performance data for a refined segmentation process wherein said performance data relates to image complexity;
c) an estimator for estimating a complexity measure for said image based on the results of said initial segmentation and said performance data; and
d) a refined segmentation processor for performing a refined segmentation process when said complexity measure meets a criterion; and
e) a segmentation-based enhancement processor for performing segmentation-based image enhancement based on said refined segmentation process when said complexity measure meets said criterion. - View Dependent Claims (20)
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21. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation process on a non-object-based image data set;
b) estimating an initial complexity measure for said image data set based on the results of said initial segmentation process;
c) performing a refined segmentation process when said initial complexity measure meets an initial measure criterion;
d) estimating a refined complexity measure for said image data set based on the results of said refined segmentation process; and
e) performing an image enhancement process based on said refined segmentation process when said refined complexity measure meets a refined measure criterion. - View Dependent Claims (22, 23, 24, 25)
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26. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation process on an image;
b) obtaining process performance data for a refined segmentation process wherein said performance data relates to image complexity;
c) estimating an initial complexity measure for said image based on the results of said initial segmentation process and said performance data;
d) performing a refined segmentation process when said initial complexity measure meets an initial measure criterion;
e) estimating a refined complexity measure for said image based on the results of said refined segmentation process; and
f) performing an image enhancement process based on said refined segmentation process when said refined complexity measure meets a refined measure criterion. - View Dependent Claims (27, 28)
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29. A method for processing of a digital image, said method comprising:
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a) performing an initial segmentation process on a non-object-based image data set;
b) obtaining process performance data for a refined segmentation process wherein said performance data relates to image complexity;
c) estimating an initial complexity measure for said image data set based on the results of said initial segmentation process and said performance data;
d) performing a refined segmentation process when said initial complexity measure meets an initial measure criterion;
e) estimating a refined complexity measure for said image data set based on the results of said refined segmentation process; and
f) performing an image enhancement process based on said refined segmentation process when said refined complexity measure meets a refined measure criterion. - View Dependent Claims (30, 31)
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Specification