Image merging method and image merging device

Abstract

The present disclosure provides an image merging method. The image merging method includes the following step. First, the calibration unit is provided, wherein a calibration device of the calibration unit includes a plurality of known characteristic information. The calibration device is captured. A conversion relationship is created. A relationship of positions of the images is analysis according to the conversion relationship. The images are formed.

Description

technical field [0001] The present invention relates to an image processing technology, and in particular to an image stitching method and an image stitching device using multi-shot technology without overlapping images. Background technique [0002] In recent years, machine vision detection methods have been widely used in industrial automation. With the improvement of processing capacity, the requirements for detection accuracy are getting higher and higher. In the same range of detection of the viewing area, generally speaking, the method to improve the accuracy is to replace the camera with higher pixels or increase the number of shooting devices, or to reduce the viewing area, sacrifice the visible range, and use a higher magnification lens for higher resolution. In this way, although the accuracy may be improved, the workpiece to be detected or the detection range cannot be completely included in the field of view of the lens, resulting in the inability to perform det...

AI Technical Summary

Problems solved by technology

However, in the raw material inspection, that is to spread the sauces and fillings in the ingredients in a detection area, and pick out the problematic impurities and debris, and these sauces and fillings have little difference in size between each other, so in The feature information of the extracted image is relatively inconspicuous, which not only reduces the accuracy of the resulting image after the subsequent image superposition, but also makes detection difficult

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