K-means-based rock casting image segmentation and calculation of porosity

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.