Method of image processing using parametric template matching
First Claim
1. A template matching method for matching an image with a plurality of template images to detect the maximum correlation value therebetween, comprising the steps of:
- (a) calculating an inverse matrix H-1 of a correlation matrix H using, as its elements, normalized correlations between a plurality of first template images;
(b) calculating a normalized correlation between a normalized image of each of a plurality of normalized first template images and at least one normalized second template image to obtain a correlation vector G; and
(c) calculating, from said correlation vector G and said inverse matrix H-1, an estimated parameter w that maximizes a normalized correlation between said normalized second template image and a normalized interpolated template image obtained by linearly combining, by said estimated parameter w, said normalized first template images.
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Abstract
In a template matching method, a region that has a plurality of normalized reference template images as vertex template images in a space of a template-pixel-size dimension is considered, and the vertex template images are linearly interpolated by a parameter w to provide a normalized interpolated template image of a magnitude 1 in the space. Then, matching between the normalized interpolated image and a search image is performed using a normalized correlation therebetween as a similarity measure, by which is obtained a parameter that provides the maximum normalized correlation value, and this normalized correlation value is determined as the maximum one.
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Citations
16 Claims
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1. A template matching method for matching an image with a plurality of template images to detect the maximum correlation value therebetween, comprising the steps of:
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(a) calculating an inverse matrix H-1 of a correlation matrix H using, as its elements, normalized correlations between a plurality of first template images; (b) calculating a normalized correlation between a normalized image of each of a plurality of normalized first template images and at least one normalized second template image to obtain a correlation vector G; and (c) calculating, from said correlation vector G and said inverse matrix H-1, an estimated parameter w that maximizes a normalized correlation between said normalized second template image and a normalized interpolated template image obtained by linearly combining, by said estimated parameter w, said normalized first template images. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A recording medium on which there is recorded a template matching procedure for matching an image with a plurality of template images to detect the maximum correlation value therebetween, said procedure comprising the steps of:
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(a) calculating an inverse matrix H-1 of a correlation matrix H using, as its elements, normalized correlations between a plurality of first template images; (b) calculating normalized correlations between normalized images of said plurality of first template images and at least one normalized second template image to obtain a correlation vector G; and (c) calculating from said correlation vector G and said inverse matrix H-1 of said correlation matrix H an estimated parameter w that maximizes a normalized correlation between said normalized second template image and a normalized interpolated template image obtained by linearly combining, by said estimated parameter w, said normalized first template images.
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Specification