A computer-aided virtual mosaic system

Abstract

The invention discloses a virtual splicing system for a computer image assistance. The virtual splicing system comprises an image import module, a feature acquisition module, a feature data processing module, a feature comparison module, a master control module, an image registration module, an image preview module, an image export module and a correction processing module, wherein the picture import module is in communication connection with the feature acquisition module; the feature acquisition module is in communication connection with the feature data processing module; wherein the characteristic data processing module is in communication connection with the characteristic comparison module, the characteristic comparison module is in communication connection with the master control module, the master control module is in communication connection with the image registration module, the image registration module is in communication connection with the image preview module, and the image registration module is in communication connection with the image preview module. According to the system, more types of feature points can be collected to better splice pictures, and meanwhile the condition that the exported pictures are not clear is reduced.

Description

technical field [0001] The invention belongs to the field of demand images, relates to big data utilization technology in the clothing industry, and in particular to a computer image-assisted virtual splicing system. Background technique [0002] Image stitching technology is the technology of combining several images with overlapping parts, which may be obtained at different times, different viewing angles or different sensors, into a large seamless high-resolution image. Image registration and image fusion are two aspects of image stitching. a key technology. Image registration is the basis of image fusion, and image registration algorithms generally require a large amount of computation, so the development of image mosaic technology largely depends on the innovation of image registration technology. The early image registration technology mainly uses point matching method, which is slow, low precision, and often requires manual selection of initial matching points, which...

AI Technical Summary

Problems solved by technology

Early image registration technology mainly used point matching method, which is slow, low precision, and often requires manual selection of initial matching points, which cannot adapt to the fusion of large data volume images.

[0003] The existing image stitching system has been in use, and the types of search base points are too few, which can easily make the positioning of the image stitching inaccurate, cause serious image stitching misalignment, and make the stitched images unusable. At the same time, the existing image stitching system is in the picture After splicing, the image content will not be checked, so that the exported image content is not clear, which has a certain impact on the use of the system. In order to solve this defect, a solution is proposed

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