Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers

标题
Improving pore type identification from thin section images using an integrated fuzzy fusion of multiple classifiers
作者
关键词
Porosity types, Thin section images, Color-based image segmentation, Geometrical shape parameters, Fuzzy Sugeno Integral (FSI) method
出版物
Journal of Natural Gas Science and Engineering
Volume 31, Issue -, Pages 396-404
出版商
Elsevier BV
发表日期
2016-03-12
DOI
10.1016/j.jngse.2016.03.030

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now