基于PC-BRISK的岩石显微图像拼接

Rock microscopic image mosaic based on PC-BRISK

传统的配准算法在高分辨率岩石显微图像上配准准确率低、配准速度慢。此外,在显微岩石薄片全景拼接过程中,由于单视域画面可能存在有效内容缺失而无法提取到有效特征点,或者纹理单一提取到的特征点较少的情况,造成全景图像拼接失败。针对上述问题提出了一种基于改进相位相关法的BRISK图像拼接算法。通过提取待配准图像之间的相似区域,对相似区域进行BRISK图像配准,采用由载物台运动规律得出的最佳匹配模型来配准无特征点图像,最终完成岩石薄片图像的全景拼接。实验结果表明,本文提出的算法相较于传统算法,在配准方面达到87.5%的准确率,每组配准耗时2.662 s,具有配准速度快、配准准确率高的优势。此外,本文提供了一种岩石薄片全景拼接的方法,具有实时拼接的实际应用价值。

The traditional registration algorithm has low registration accuracy and slow registration speed on high-resolution rock microscopic images.In addition,in the process of panoramic stitching of microscopic rock slices,due to the lack of effective content in single-view images,effective feature points cannot be extracted,or there are fewer feature points extracted by a single texture,resulting in panoramic image stitching failure.Aiming at the above problems,a BRISK image stitching algorithm based on an improved phase correlation method is proposed.By extracting the similar regions between the images to be registered,the BRISK image registration is performed on the similar regions,and the best matching model obtained by the motion law of the stage is used to register the image without feature points.Finally,the panoramic mosaic of rock slice images is completed.The experimental results demonstrate that the algorithm proposed in this paper achieves a registration accuracy of 87.5%compared to traditional algorithms,with a registration time of 2.662 seconds per pair.It exhibits advantages in terms of both fast registration speed and high accuracy.Moreover,this paper presents a method for panoramic stitching of rock thin sections,which offers practical value for real-time stitching applications.