Image calibration in the case of integral translation and linear elongation

Abstract

A method for calibrating global translation and linear extension of images. First, the translation parameters of the three corresponding linear displacement boxes in the reference image and the corresponding distortion test image are determined, and then based on the difference between the three box translation parameters, whether there is an extension is detected. If an extension is detected, the Extension coefficient. The base image is carefully adjusted by extending it based on the estimated extension coefficient so that it overlaps with the distorted test image. Then use the finely adjusted extension coefficient to perform an extension operation to shrink the distortion test image, and then align the distortion test image with the reference image to obtain image quality data.

Description

technical field [0001] The present invention relates to image calibration and, more particularly, to calibration by detecting and correcting extensions of images in the event of overall translation and linear extension. Background technique [0002] Accurate spatial alignment of digital images is a fundamental focus in many applications of image processing. The book "Computer Image Processing and Recognition" by Ernest Hall, Academic Press, 1979, introduces the basic correlation method of template matching that can be used for image calibration. Kuglin et al. published a paper entitled "Phase Correlation Image Calibration Method" in the scientific report collection of IEEE (Institute of Electrical and Electronics Engineers) 1975 International Conference on Cybernetics and Society in September 1975, pp. 163-165. The basic correlator scheme of information. These methods work well for global translations such as Figure 1A and 1B The kind that can be very precise. But for t...

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