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An efficient preprocessing method for feature based image stitching

机译:一种基于特征的图像拼接的高效预处理方法

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To improve the accuracy of image registration during feature based image stitching, especially in extreme illumination scenario, image enhancement is a crucial step as it improves the quality of the images. In this paper, a multi-scale image enhancement method is proposed as a preprocessing step of feature matching. The idea of the enhancement method is first to generate a high dynamic range version of the input images, then realize tone mapping of the HDR content by multi-scale method. SIFT descriptor and RANSAC algorithm are used for feature matching and image fusion to evaluate the proposed method. The results show that the accuracy of the feature matching can be increased by the proposed preprocessing method.
机译:为了提高基于特征的图像拼接过程中图像配准的准确性,特别是在极端照明情况下,图像增强是至关重要的一步,因为它可以提高图像质量。在本文中,提出了一种多尺度图像增强方法作为特征匹配的预处理步骤。增强方法的思想是首先生成输入图像的高动态范围版本,然后通过多尺度方法实现HDR内容的色调映射。 SIFT描述符和RANSAC算法用于特征匹配和图像融合,以评估该方法。结果表明,所提出的预处理方法可以提高特征匹配的准确性。

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