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计算机系统应用:2018,27(12):175-180
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岩矿薄片偏光序列图像的矿物颗粒分割方法
吴耀坤1, 滕奇志1, 何海波2, 彭志伟1
(1.四川大学 电子信息学院 图像信息研究所, 成都 610065;2.成都西图科技有限公司, 成都 610024)
Mineral Particles Segmentation Method Based on Polarization Image Sequences of Rock Slice
WU Yao-Kun1, TENG Qi-Zhi1, HE Hai-Bo2, PENG Zhi-Wei1
(1.Institute of Image Information, College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China;2.Chengdu Xitu Technology Co. Ltd., Chengdu 610024, China)
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投稿时间:2018-05-28    修订日期:2018-06-19
中文摘要: 岩矿薄片图像中矿物颗粒的提取是岩矿薄片粒度分析、成分识别的基础,为了进一步提升矿物颗粒提取的准确性,提出一种新的矿物颗粒分割提取方法.该方法以相同视域、不同角度下的正交偏光序列图像为基础,对序列图像进行融合后,利用熵率超像素算法提取矿物颗粒目标.为了减少矿物颗粒的过分割现象,采用快速区域合并算法合并具有相似性的区域,最后,依据矿物颗粒在正交偏光下的变化规律对分割区域筛选,再次进行颗粒目标融合实现颗粒自动分割.该方法提取岩矿薄片图像中的矿物颗粒,可以获得较好的效果.
Abstract:The extraction of mineral particles from rock slice images is the basis for grain size analysis and mineral components recognition. In order to further improve the accuracy of mineral particles extraction, a new method of mineral particles segmentation is proposed. This method is based on the crossed polarization image sequences which are in the same view and different angles. After merging the sequence images, entropy rate superpixels algorithm is used to extract the target of mineral particles. In order to reduce the over segmentation of mineral particles, this study uses the fast region merging algorithm to merge regions with similarities. Finally, filtering over segmented regions and merging target particles again according to the change rules of mineral particles under crossed polarization to realize automatic segmentation of mineral particles. The proposed method can be used to extract mineral particles from rock slice images and achieve good results.
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基金项目:国家自然科学基金(61372174);四川大学研究生课程建设项目(2016KCJS113)
引用文本:
吴耀坤,滕奇志,何海波,彭志伟.岩矿薄片偏光序列图像的矿物颗粒分割方法.计算机系统应用,2018,27(12):175-180
WU Yao-Kun,TENG Qi-Zhi,HE Hai-Bo,PENG Zhi-Wei.Mineral Particles Segmentation Method Based on Polarization Image Sequences of Rock Slice.COMPUTER SYSTEMS APPLICATIONS,2018,27(12):175-180

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