METHOD FOR FIXED-ROTATION AND ROTATION-INDEPENDENT IMAGE CORRELATION
First Claim
1. A method of correlating an image of a feature of interest, comprising:
- acquiring a first image of a feature of interest;
generating a learned circlet image from the first image, wherein a circlet is defined as a compact angle representation expressing, at a given pixel comprised in the first image, the direction of change of pixel intensity;
saving one or more sets of learned circlets corresponding to one or more selected probes;
acquiring a second image of the feature of interest;
generating a target circlet image from the second image; and
correlating the learned circlet image and the target circlet image.
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Accused Products
Abstract
A circlet is defined as a compact angle representation expressing, at a given pixel comprised in the first image, the direction of change of pixel intensity. A method of locating a feature of interest includes the steps of: acquiring a first image of a feature of interest to a user; generating a learned circlet image from the first image; saving one or more sets of learned circlets corresponding to one or more selected probes; acquiring a second image of the feature of interest; generating a target circlet image from the second image; and correlating the learned circlet image and the target circlet image.
6 Citations
25 Claims
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1. A method of correlating an image of a feature of interest, comprising:
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acquiring a first image of a feature of interest; generating a learned circlet image from the first image, wherein a circlet is defined as a compact angle representation expressing, at a given pixel comprised in the first image, the direction of change of pixel intensity; saving one or more sets of learned circlets corresponding to one or more selected probes; acquiring a second image of the feature of interest; generating a target circlet image from the second image; and correlating the learned circlet image and the target circlet image. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A method of locating a feature of interest comprising the steps of:
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acquiring a first image of a feature of interest; filtering the first image; generating a learned gradient image corresponding to the filtered first image; generating a learned circlet image comprising edgels from the learned gradient image; determining a learned non-maximum suppression image from the learned circlet image; determining one or more edgel 480 chains from the learned non-maximum suppression image; determining a consistency score for one or more of the learned edgels; using the consistency scores, selecting a set of primary probes from the one or more learned edgels; using the consistency scores, selecting a set of secondary probes from the one or more learned edgels; saving one or more sets of learned circlets corresponding to the selected probes; selecting alternate primary probes; acquiring a second image of the feature of interest; filtering the second image; generating a target gradient image corresponding to the filtered second image; generating a target circlet image from the target gradient image; and correlating the learned circlet image and the target circlet image.
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Specification