现代电子技术2012，Vol.35Issue(6)：141-143,3.
基于K-means岩石铸体图像分割及孔隙度的计算
K-means-based rock casting image segmentation and calculation of porosity
张莹 1陈普春 2曹俊 1徐莹 1张韬1
作者信息
- 1. 西南石油大学电气信息学院,四川成都 610500
- 2. 西南石油大学理学院,四川成都610500
- 折叠
摘要
Abstract
In order to accurately obtain the porosity of the deposited layer to carry out stratigraphic interpretation and set up a geological model, a calculation method is designed, in which rock casting body image is segmented so that the porosity is calculated based on K-means clustering method. The color casting body chips are effectively segmented with K-means clustering method and the image target can be recognized precisely in combination with the morphological knowledge on the basis of the segmentation. Thus the porosity is obtained by calculating the ratio of the porosity's area to total image area. Experimental results show that this method not only has good clustering segmentation effect but also can obtain the values basically coincident with the ones from other detection methods.关键词
彩色分割/K-means聚类/L*a*b*颜色空间/形态学处理/孔隙度Key words
color segmentation/k-means clustering/L*a*b* color space/morphological processing/porosity分类
信息技术与安全科学引用本文复制引用
张莹,陈普春,曹俊,徐莹,张韬..基于K-means岩石铸体图像分割及孔隙度的计算[J].现代电子技术,2012,35(6):141-143,3.
