Open AccessResearch and application of Improved snake algorithm in Boundary detection of Core CT image
Author(s) -
WenRong Sun,
Wei Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1616/1/012014
Subject(s) - core (optical fiber) , boundary (topology) , image (mathematics) , computer science , artificial intelligence , image segmentation , computer vision , similarity (geometry) , algorithm , segmentation , computed tomography , active contour model , pattern recognition (psychology) , mathematics , medicine , radiology , mathematical analysis , telecommunications
With the continuous refinement of oilfield development, computed tomography (CT) scanning technology has gradually become an important means to study the core microstructure, through the analysis of core CT image to obtain the core structure information. Active contour model (snake algorithm model) has been widely used in medical image segmentation. Considering the great similarity between core CT image and medical CT image of petroleum geology department, this paper attempts to improve the traditional snake algorithm model. The experimental results show that the improved algorithm has achieved good results in the boundary extraction of core CT sequence image.