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不同偏光系统下的岩石薄片图像联合分割
时间: 2023-11-10 次数:

王永茂, 黄玲玲, 侯广顺,.不同偏光系统下的岩石薄片图像联合分割[J].河南理工大学学报(自然科学版),2023,42(6):69-75.

WANG Y M, HUANG L L, HOU G S ,et al.Combined segmentation of rock slice images under different polarizing systems[J].Journal of Henan Polytechnic University(Natural Science) ,2023,42(6):69-75.

不同偏光系统下的岩石薄片图像联合分割

王永茂1, 黄玲玲1, 侯广顺2, 芦碧波1

1.河南理工大学 计算机科学与技术学院 河南 焦作  454000;2.河南理工大学 资源环境学院 河南 焦作  454000

摘要:针对传统切换单偏光与正交偏光系统进行镜下岩石薄片分析和含量估计耗时耗力,且准确率较低的问题,在色度亮度空间设计一种岩石薄片图像联合分割方法:先将相同视域下的单偏光图像与正交偏光图像在色度亮度空间中分别进行分解,然后对色度图像进行双边滤波处理,抑制噪声和去除纹理,计算滤波后两个色度图像之间的差值,并依次使用K-Means聚类算法和分水岭分割算法得到最终分割结果。结果表明,使用单偏光岩石薄片图像与正交偏光岩石薄片图像联合分割较大提升了矿物颗粒计数准确率和分割结果的交并比。研究结果可为地质工作者鉴定岩石薄片提供指导。

关键词:偏光系统;色度亮度空间;双边滤波;视觉显著性;K-Means算法

doi:10.16186/j.cnki.1673-9787.2021090013

基金项目:国家自然科学基金资助项目(41773024);河南省高校重点科研项目(21A520016);2021年度河南科技智库调研课题(HNKJZK-2021-56C

收稿日期:2021/09/03

修回日期:2021/10/20

出版日期:2023/11/25

Combined segmentation of rock slice images under different polarizing systems

WANG Yongmao1, HUANG Lingling1, HOU Guangshun2, LU Bibo1

1.School of Computer Science and TechnologyHenan Polytechnic UniversityJiaozuo  454000HenanChina;2.School of Resources & EnvironmentHenan Polytechnic UniversityJiaozuo  454000HenanChina

Abstract:To solve the problem of low accuracy and time-consuming in the traditional switching between single polarization and orthogonal polarization systems for the analysis of rock slices and content estimation under microscopea combined segmentation method of rock slice image in chrominance luminance space was designed.Firstlythe single polarized image and the orthogonal polarized image from the same field of view were decomposed separately in the chromatic and bright space.Thenthe chromaticity image was subjected to bilateral filtering to suppress noise and remove texture.The difference between the filtered two chromaticity images was calculatedand the final segmentation result was obtained by using K-Means clustering algorithm and watershed segmentation algorithm in sequence.The research results can provide guidance for geologists to identify rock slices.

Key words:polarized systems;chromatic and bright space;bilateral filter;visually significant;K-Means algorithm

  009_2021090013_王永茂_L.pdf

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