Segment based image registration method
First Claim
Patent Images
1. A segment based image registration method for registering an examined image with a standard image, the method comprising:
- dividing the standard image into at least one standard image segment, and dividing the examined image into at least one examined image segment, wherein the standard image segment has a plurality of standard feature points, and the examined image segment has a plurality of examined feature points;
selecting a standard reference point in the standard image segment, and selecting an examined reference point in the examined image segment, wherein the standard feature points and the standard reference point form a plurality of standard vectors, and the examined feature points and the examined reference point form a plurality of examined vectors;
comparing the examined vectors to the standard vectors to obtain at least one transformation matrix;
deriving a transformation parameter from the transformation matrix according to a Fibonacci search; and
adjusting the examined image segment with the transformation parameter.
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Abstract
An examined image is segmented, where a segment thereof may correspond to an area scan image or a line scan image of which the size is defined by considering the performance of the servo mechanism. In the segment, vectors between feature points of the examined image and a standard image are compared, and based on the required tolerance, a Fibonacci search having a predetermined number of iterations is used for matching an optimal corresponding relationship between the examined image and the standard image.
7 Citations
16 Claims
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1. A segment based image registration method for registering an examined image with a standard image, the method comprising:
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dividing the standard image into at least one standard image segment, and dividing the examined image into at least one examined image segment, wherein the standard image segment has a plurality of standard feature points, and the examined image segment has a plurality of examined feature points;
selecting a standard reference point in the standard image segment, and selecting an examined reference point in the examined image segment, wherein the standard feature points and the standard reference point form a plurality of standard vectors, and the examined feature points and the examined reference point form a plurality of examined vectors;
comparing the examined vectors to the standard vectors to obtain at least one transformation matrix;
deriving a transformation parameter from the transformation matrix according to a Fibonacci search; and
adjusting the examined image segment with the transformation parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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Specification