基于SIFT特征提取的高清晰岩心图像自动配准

提出了采用图像自动拼接技术获得高清晰高质量岩心扫描全景图.自动拼接的关键是特征点的提取与匹配.尺度不变特征变换算法具有伸缩、旋转、仿射不变性，并能够抗拒一定光照和视点的变化.提出把该算法用于岩心图像的特征提取，并采用欧式距离法进行特征匹配.实验结果表明，采用该算法大大提升了岩心图像拼接系统的自动化水平和准确度.

SIFT-based feature extraction of high-definition core images automatic registration

This paper proposed Automatic Image Stitching technology to high-definition quality core scanning panoramic images. The key in automatic stitching is feature extraction and matching. Scale-invariant features transform algorithm with a telescopic, rotation, Affine invariant, and can resist a certain light and perspective changes. This paper proposed to apply scale-invariant features transform algorithm to image feature extraction, and used a Euclidean distance method of matching. Experimental results show that this algorithm greatly enhances the core image stitching level of automation and accuracy.