Digital sieving-Matlab based 3-D image analysis

详细信息	查看全文 | 推荐本文 |

• 作者：S. Tafesse^a ; ^{tafesse@kth.se} ; J.M.R. Fernlund^a ; ^{joanne@kth.se} ; F. Bergholm^b ; ^{fredrik.bergholm@sth.kth.se}
• 关键词：Particle form ; Particle size ; Shape distribution ; Image analysis ; Digital sieving
• 刊名：Engineering Geology
• 出版年：2012
• 期刊代码：22_00137952
• 类别：civ
• 出版时间：1 June, 2012
• 卷：137-138
• 期：Complete
• 页码：74-84
• 文件大小：1902 K

摘要

A new image analysis technique for determining the three-dimensional size and shape distribution of coarse particles has been developed. It entails acquiring a pair of images, one each of the maximum and minimum projected area of the particles. Glow-In-the-Dark beads were used to create luminous background, thus it is named the GID method. In this study the size and shape distribution of four coarse-grained samples, size varies from 2 to 20 cm, have been analyzed. The size distribution of the samples obtained from the GID analysis is comparable to sieve analysis results, and has an extra advantage of being applicable in the field. The algorithm was developed in Matlab; therefore users could make some optimization in the program to meet their own needs as the program code is open source.