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A Method for Image Mosaic of Textile Printing Fabric Based on SIFT Feature Matching

机译:基于SIFT特征匹配的纺织印刷织物图像马赛克的一种方法

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Image mosaic is the technique to stitch a series of overlapped pictures into a bigger one. The quality of image mosaic mainly depends on the precision of image registration. In the process of image mosaic the features should be acquired and matched accurately. Recently, SIFT (Scale Invariant Feature Transform) feature matching algorithm is becoming the focus of the image mosaic. In this paper focuses on the point matching of the textile fabric by SIFT. As is known to all, in the detection of textile fabrics, the image acquisition is the key, Based on this, this article through the SIFT algorithm for textile printing image stitching, get a picture of a wide range of complete image.
机译:图像马赛克是将一系列重叠的图片缝合到更大的技术。图像马赛克的质量主要取决于图像配准的精度。在图像马赛克的过程中,应准确地获得和匹配特征。最近,SIFT(SCALE不变特征变换)特征匹配算法正在成为图像马赛克的焦点。本文重点介绍纺织面料通过筛选的点匹配。如所熟知的,在纺织织物的检测中,图像采集是关键,基于此,本文通过纺织印刷图像拼写的SIFT算法,获取广泛的完整图像的图片。

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