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Investigation of image registration method for the multi-directional image fusion of woven fabrics

机译：机织物多方向图像融合的图像配准方法研究

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摘要

Traditional single-side scanning or single-vision image acquisition methods have the limitation of incomplete information caused by the existence of blind spots. To collect the complete texture information of fabric images, a new multi-vision image acquisition and the related fusion method is developed to solve this problem. However, linear addition of image sequences acquired from multiple directions cannot achieve a good result of image fusion, it is necessary to conduct the image fusion based on the image registration between images at pixel level. Therefore, a new multi-directional digital image acquisition system for woven fabrics is established in this article; one set of image fusion algorithm based on image registration is proposed for the image enhancement of fabric. Fabric texture images are digitized by means of multi-directional vision imaging instead of unidirectional imaging, the structural information of fabric texture could be enhanced using image registration and fusion technology and the indexing and localization of texture corresponding points could be controlled using matching points or control points. Our experimental results show that the proposed method could be used to merge the effective information from the multi-directional vision images completely, it has the potential application for the rendering of woven fabrics using image driven virtual reality enhancement.
机译：传统的单面扫描或单视场图像采集方法由于存在盲点而导致信息不完整的局限性。为了收集织物图像的完整纹理信息，开发了一种新的多视觉图像采集和相关的融合方法来解决该问题。然而，从多个方向获取的图像序列的线性相加不能获得良好的图像融合结果，因此有必要基于像素级图像之间的图像配准来进行图像融合。因此，本文建立了一种新的机织物多方向数字图像采集系统。提出了一套基于图像配准的图像融合算法对织物进行图像增强。通过多方向视觉成像而不是单向成像将织物纹理图像数字化，可以使用图像配准和融合技术增强织物纹理的结构信息，并可以使用匹配点或控制来控制纹理对应点的索引和定位点。实验结果表明，该方法可以完全融合多方向视觉图像中的有效信息，具有应用图像驱动的虚拟现实增强技术渲染机织物的潜力。

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